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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/speech/v1p1beta1/cloud_speech.proto
package com.google.cloud.speech.v1p1beta1;
/**
*
*
*
* Provides information to the recognizer that specifies how to process the
* request.
*
*
* Protobuf type {@code google.cloud.speech.v1p1beta1.RecognitionConfig}
*/
public final class RecognitionConfig extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.speech.v1p1beta1.RecognitionConfig)
RecognitionConfigOrBuilder {
private static final long serialVersionUID = 0L;
// Use RecognitionConfig.newBuilder() to construct.
private RecognitionConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private RecognitionConfig() {
encoding_ = 0;
sampleRateHertz_ = 0;
audioChannelCount_ = 0;
enableSeparateRecognitionPerChannel_ = false;
languageCode_ = "";
alternativeLanguageCodes_ = com.google.protobuf.LazyStringArrayList.EMPTY;
maxAlternatives_ = 0;
profanityFilter_ = false;
speechContexts_ = java.util.Collections.emptyList();
enableWordTimeOffsets_ = false;
enableWordConfidence_ = false;
enableAutomaticPunctuation_ = false;
enableSpeakerDiarization_ = false;
diarizationSpeakerCount_ = 0;
model_ = "";
useEnhanced_ = false;
}
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
return this.unknownFields;
}
private RecognitionConfig(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
int mutable_bitField0_ = 0;
com.google.protobuf.UnknownFieldSet.Builder unknownFields =
com.google.protobuf.UnknownFieldSet.newBuilder();
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 8:
{
int rawValue = input.readEnum();
encoding_ = rawValue;
break;
}
case 16:
{
sampleRateHertz_ = input.readInt32();
break;
}
case 26:
{
java.lang.String s = input.readStringRequireUtf8();
languageCode_ = s;
break;
}
case 32:
{
maxAlternatives_ = input.readInt32();
break;
}
case 40:
{
profanityFilter_ = input.readBool();
break;
}
case 50:
{
if (!((mutable_bitField0_ & 0x00000100) == 0x00000100)) {
speechContexts_ =
new java.util.ArrayList();
mutable_bitField0_ |= 0x00000100;
}
speechContexts_.add(
input.readMessage(
com.google.cloud.speech.v1p1beta1.SpeechContext.parser(), extensionRegistry));
break;
}
case 56:
{
audioChannelCount_ = input.readInt32();
break;
}
case 64:
{
enableWordTimeOffsets_ = input.readBool();
break;
}
case 74:
{
com.google.cloud.speech.v1p1beta1.RecognitionMetadata.Builder subBuilder = null;
if (metadata_ != null) {
subBuilder = metadata_.toBuilder();
}
metadata_ =
input.readMessage(
com.google.cloud.speech.v1p1beta1.RecognitionMetadata.parser(),
extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(metadata_);
metadata_ = subBuilder.buildPartial();
}
break;
}
case 88:
{
enableAutomaticPunctuation_ = input.readBool();
break;
}
case 96:
{
enableSeparateRecognitionPerChannel_ = input.readBool();
break;
}
case 106:
{
java.lang.String s = input.readStringRequireUtf8();
model_ = s;
break;
}
case 112:
{
useEnhanced_ = input.readBool();
break;
}
case 120:
{
enableWordConfidence_ = input.readBool();
break;
}
case 128:
{
enableSpeakerDiarization_ = input.readBool();
break;
}
case 136:
{
diarizationSpeakerCount_ = input.readInt32();
break;
}
case 146:
{
java.lang.String s = input.readStringRequireUtf8();
if (!((mutable_bitField0_ & 0x00000020) == 0x00000020)) {
alternativeLanguageCodes_ = new com.google.protobuf.LazyStringArrayList();
mutable_bitField0_ |= 0x00000020;
}
alternativeLanguageCodes_.add(s);
break;
}
default:
{
if (!parseUnknownFieldProto3(input, unknownFields, extensionRegistry, tag)) {
done = true;
}
break;
}
}
}
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
} finally {
if (((mutable_bitField0_ & 0x00000100) == 0x00000100)) {
speechContexts_ = java.util.Collections.unmodifiableList(speechContexts_);
}
if (((mutable_bitField0_ & 0x00000020) == 0x00000020)) {
alternativeLanguageCodes_ = alternativeLanguageCodes_.getUnmodifiableView();
}
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.speech.v1p1beta1.SpeechProto
.internal_static_google_cloud_speech_v1p1beta1_RecognitionConfig_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.speech.v1p1beta1.SpeechProto
.internal_static_google_cloud_speech_v1p1beta1_RecognitionConfig_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.speech.v1p1beta1.RecognitionConfig.class,
com.google.cloud.speech.v1p1beta1.RecognitionConfig.Builder.class);
}
/**
*
*
*
* The encoding of the audio data sent in the request.
* All encodings support only 1 channel (mono) audio.
* For best results, the audio source should be captured and transmitted using
* a lossless encoding (`FLAC` or `LINEAR16`). The accuracy of the speech
* recognition can be reduced if lossy codecs are used to capture or transmit
* audio, particularly if background noise is present. Lossy codecs include
* `MULAW`, `AMR`, `AMR_WB`, `OGG_OPUS`, and `SPEEX_WITH_HEADER_BYTE`.
* The `FLAC` and `WAV` audio file formats include a header that describes the
* included audio content. You can request recognition for `WAV` files that
* contain either `LINEAR16` or `MULAW` encoded audio.
* If you send `FLAC` or `WAV` audio file format in
* your request, you do not need to specify an `AudioEncoding`; the audio
* encoding format is determined from the file header. If you specify
* an `AudioEncoding` when you send send `FLAC` or `WAV` audio, the
* encoding configuration must match the encoding described in the audio
* header; otherwise the request returns an
* [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT] error code.
*
*
* Protobuf enum {@code google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding}
*/
public enum AudioEncoding implements com.google.protobuf.ProtocolMessageEnum {
/**
*
*
*
* Not specified.
*
*
* ENCODING_UNSPECIFIED = 0;
*/
ENCODING_UNSPECIFIED(0),
/**
*
*
*
* Uncompressed 16-bit signed little-endian samples (Linear PCM).
*
*
* LINEAR16 = 1;
*/
LINEAR16(1),
/**
*
*
*
* `FLAC` (Free Lossless Audio
* Codec) is the recommended encoding because it is
* lossless--therefore recognition is not compromised--and
* requires only about half the bandwidth of `LINEAR16`. `FLAC` stream
* encoding supports 16-bit and 24-bit samples, however, not all fields in
* `STREAMINFO` are supported.
*
*
* FLAC = 2;
*/
FLAC(2),
/**
*
*
*
* 8-bit samples that compand 14-bit audio samples using G.711 PCMU/mu-law.
*
*
* MULAW = 3;
*/
MULAW(3),
/**
*
*
*
* Adaptive Multi-Rate Narrowband codec. `sample_rate_hertz` must be 8000.
*
*
* AMR = 4;
*/
AMR(4),
/**
*
*
*
* Adaptive Multi-Rate Wideband codec. `sample_rate_hertz` must be 16000.
*
*
* AMR_WB = 5;
*/
AMR_WB(5),
/**
*
*
*
* Opus encoded audio frames in Ogg container
* ([OggOpus](https://wiki.xiph.org/OggOpus)).
* `sample_rate_hertz` must be one of 8000, 12000, 16000, 24000, or 48000.
*
*
* OGG_OPUS = 6;
*/
OGG_OPUS(6),
/**
*
*
*
* Although the use of lossy encodings is not recommended, if a very low
* bitrate encoding is required, `OGG_OPUS` is highly preferred over
* Speex encoding. The [Speex](https://speex.org/) encoding supported by
* Cloud Speech API has a header byte in each block, as in MIME type
* `audio/x-speex-with-header-byte`.
* It is a variant of the RTP Speex encoding defined in
* [RFC 5574](https://tools.ietf.org/html/rfc5574).
* The stream is a sequence of blocks, one block per RTP packet. Each block
* starts with a byte containing the length of the block, in bytes, followed
* by one or more frames of Speex data, padded to an integral number of
* bytes (octets) as specified in RFC 5574. In other words, each RTP header
* is replaced with a single byte containing the block length. Only Speex
* wideband is supported. `sample_rate_hertz` must be 16000.
*
*
* SPEEX_WITH_HEADER_BYTE = 7;
*/
SPEEX_WITH_HEADER_BYTE(7),
UNRECOGNIZED(-1),
;
/**
*
*
*
* Not specified.
*
*
* ENCODING_UNSPECIFIED = 0;
*/
public static final int ENCODING_UNSPECIFIED_VALUE = 0;
/**
*
*
*
* Uncompressed 16-bit signed little-endian samples (Linear PCM).
*
*
* LINEAR16 = 1;
*/
public static final int LINEAR16_VALUE = 1;
/**
*
*
*
* `FLAC` (Free Lossless Audio
* Codec) is the recommended encoding because it is
* lossless--therefore recognition is not compromised--and
* requires only about half the bandwidth of `LINEAR16`. `FLAC` stream
* encoding supports 16-bit and 24-bit samples, however, not all fields in
* `STREAMINFO` are supported.
*
*
* FLAC = 2;
*/
public static final int FLAC_VALUE = 2;
/**
*
*
*
* 8-bit samples that compand 14-bit audio samples using G.711 PCMU/mu-law.
*
*
* MULAW = 3;
*/
public static final int MULAW_VALUE = 3;
/**
*
*
*
* Adaptive Multi-Rate Narrowband codec. `sample_rate_hertz` must be 8000.
*
*
* AMR = 4;
*/
public static final int AMR_VALUE = 4;
/**
*
*
*
* Adaptive Multi-Rate Wideband codec. `sample_rate_hertz` must be 16000.
*
*
* AMR_WB = 5;
*/
public static final int AMR_WB_VALUE = 5;
/**
*
*
*
* Opus encoded audio frames in Ogg container
* ([OggOpus](https://wiki.xiph.org/OggOpus)).
* `sample_rate_hertz` must be one of 8000, 12000, 16000, 24000, or 48000.
*
*
* OGG_OPUS = 6;
*/
public static final int OGG_OPUS_VALUE = 6;
/**
*
*
*
* Although the use of lossy encodings is not recommended, if a very low
* bitrate encoding is required, `OGG_OPUS` is highly preferred over
* Speex encoding. The [Speex](https://speex.org/) encoding supported by
* Cloud Speech API has a header byte in each block, as in MIME type
* `audio/x-speex-with-header-byte`.
* It is a variant of the RTP Speex encoding defined in
* [RFC 5574](https://tools.ietf.org/html/rfc5574).
* The stream is a sequence of blocks, one block per RTP packet. Each block
* starts with a byte containing the length of the block, in bytes, followed
* by one or more frames of Speex data, padded to an integral number of
* bytes (octets) as specified in RFC 5574. In other words, each RTP header
* is replaced with a single byte containing the block length. Only Speex
* wideband is supported. `sample_rate_hertz` must be 16000.
*
*
* SPEEX_WITH_HEADER_BYTE = 7;
*/
public static final int SPEEX_WITH_HEADER_BYTE_VALUE = 7;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
}
return value;
}
/** @deprecated Use {@link #forNumber(int)} instead. */
@java.lang.Deprecated
public static AudioEncoding valueOf(int value) {
return forNumber(value);
}
public static AudioEncoding forNumber(int value) {
switch (value) {
case 0:
return ENCODING_UNSPECIFIED;
case 1:
return LINEAR16;
case 2:
return FLAC;
case 3:
return MULAW;
case 4:
return AMR;
case 5:
return AMR_WB;
case 6:
return OGG_OPUS;
case 7:
return SPEEX_WITH_HEADER_BYTE;
default:
return null;
}
}
public static com.google.protobuf.Internal.EnumLiteMap internalGetValueMap() {
return internalValueMap;
}
private static final com.google.protobuf.Internal.EnumLiteMap internalValueMap =
new com.google.protobuf.Internal.EnumLiteMap() {
public AudioEncoding findValueByNumber(int number) {
return AudioEncoding.forNumber(number);
}
};
public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
return getDescriptor().getValues().get(ordinal());
}
public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
return getDescriptor();
}
public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
return com.google.cloud.speech.v1p1beta1.RecognitionConfig.getDescriptor()
.getEnumTypes()
.get(0);
}
private static final AudioEncoding[] VALUES = values();
public static AudioEncoding valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
if (desc.getType() != getDescriptor()) {
throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
}
if (desc.getIndex() == -1) {
return UNRECOGNIZED;
}
return VALUES[desc.getIndex()];
}
private final int value;
private AudioEncoding(int value) {
this.value = value;
}
// @@protoc_insertion_point(enum_scope:google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding)
}
private int bitField0_;
public static final int ENCODING_FIELD_NUMBER = 1;
private int encoding_;
/**
*
*
*
* Encoding of audio data sent in all `RecognitionAudio` messages.
* This field is optional for `FLAC` and `WAV` audio files and required
* for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
*
*
* .google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
*/
public int getEncodingValue() {
return encoding_;
}
/**
*
*
*
* Encoding of audio data sent in all `RecognitionAudio` messages.
* This field is optional for `FLAC` and `WAV` audio files and required
* for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
*
*
* .google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
*/
public com.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding getEncoding() {
@SuppressWarnings("deprecation")
com.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding result =
com.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding.valueOf(encoding_);
return result == null
? com.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding.UNRECOGNIZED
: result;
}
public static final int SAMPLE_RATE_HERTZ_FIELD_NUMBER = 2;
private int sampleRateHertz_;
/**
*
*
*
* Sample rate in Hertz of the audio data sent in all
* `RecognitionAudio` messages. Valid values are: 8000-48000.
* 16000 is optimal. For best results, set the sampling rate of the audio
* source to 16000 Hz. If that's not possible, use the native sample rate of
* the audio source (instead of re-sampling).
* This field is optional for `FLAC` and `WAV` audio files and required
* for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
*
*
* int32 sample_rate_hertz = 2;
*/
public int getSampleRateHertz() {
return sampleRateHertz_;
}
public static final int AUDIO_CHANNEL_COUNT_FIELD_NUMBER = 7;
private int audioChannelCount_;
/**
*
*
*
* *Optional* The number of channels in the input audio data.
* ONLY set this for MULTI-CHANNEL recognition.
* Valid values for LINEAR16 and FLAC are `1`-`8`.
* Valid values for OGG_OPUS are '1'-'254'.
* Valid value for MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only `1`.
* If `0` or omitted, defaults to one channel (mono).
* Note: We only recognize the first channel by default.
* To perform independent recognition on each channel set
* `enable_separate_recognition_per_channel` to 'true'.
*
*
* int32 audio_channel_count = 7;
*/
public int getAudioChannelCount() {
return audioChannelCount_;
}
public static final int ENABLE_SEPARATE_RECOGNITION_PER_CHANNEL_FIELD_NUMBER = 12;
private boolean enableSeparateRecognitionPerChannel_;
/**
*
*
*
* This needs to be set to ‘true’ explicitly and `audio_channel_count` > 1
* to get each channel recognized separately. The recognition result will
* contain a `channel_tag` field to state which channel that result belongs
* to. If this is not true, we will only recognize the first channel. The
* request is billed cumulatively for all channels recognized:
* `audio_channel_count` multiplied by the length of the audio.
*
*
* bool enable_separate_recognition_per_channel = 12;
*/
public boolean getEnableSeparateRecognitionPerChannel() {
return enableSeparateRecognitionPerChannel_;
}
public static final int LANGUAGE_CODE_FIELD_NUMBER = 3;
private volatile java.lang.Object languageCode_;
/**
*
*
*
* *Required* The language of the supplied audio as a
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
* Example: "en-US".
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
*
*
* string language_code = 3;
*/
public java.lang.String getLanguageCode() {
java.lang.Object ref = languageCode_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
languageCode_ = s;
return s;
}
}
/**
*
*
*
* *Required* The language of the supplied audio as a
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
* Example: "en-US".
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
*
*
* string language_code = 3;
*/
public com.google.protobuf.ByteString getLanguageCodeBytes() {
java.lang.Object ref = languageCode_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
languageCode_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int ALTERNATIVE_LANGUAGE_CODES_FIELD_NUMBER = 18;
private com.google.protobuf.LazyStringList alternativeLanguageCodes_;
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public com.google.protobuf.ProtocolStringList getAlternativeLanguageCodesList() {
return alternativeLanguageCodes_;
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public int getAlternativeLanguageCodesCount() {
return alternativeLanguageCodes_.size();
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public java.lang.String getAlternativeLanguageCodes(int index) {
return alternativeLanguageCodes_.get(index);
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public com.google.protobuf.ByteString getAlternativeLanguageCodesBytes(int index) {
return alternativeLanguageCodes_.getByteString(index);
}
public static final int MAX_ALTERNATIVES_FIELD_NUMBER = 4;
private int maxAlternatives_;
/**
*
*
*
* *Optional* Maximum number of recognition hypotheses to be returned.
* Specifically, the maximum number of `SpeechRecognitionAlternative` messages
* within each `SpeechRecognitionResult`.
* The server may return fewer than `max_alternatives`.
* Valid values are `0`-`30`. A value of `0` or `1` will return a maximum of
* one. If omitted, will return a maximum of one.
*
*
* int32 max_alternatives = 4;
*/
public int getMaxAlternatives() {
return maxAlternatives_;
}
public static final int PROFANITY_FILTER_FIELD_NUMBER = 5;
private boolean profanityFilter_;
/**
*
*
*
* *Optional* If set to `true`, the server will attempt to filter out
* profanities, replacing all but the initial character in each filtered word
* with asterisks, e.g. "f***". If set to `false` or omitted, profanities
* won't be filtered out.
*
*
* bool profanity_filter = 5;
*/
public boolean getProfanityFilter() {
return profanityFilter_;
}
public static final int SPEECH_CONTEXTS_FIELD_NUMBER = 6;
private java.util.List speechContexts_;
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public java.util.List getSpeechContextsList() {
return speechContexts_;
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public java.util.List
getSpeechContextsOrBuilderList() {
return speechContexts_;
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public int getSpeechContextsCount() {
return speechContexts_.size();
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public com.google.cloud.speech.v1p1beta1.SpeechContext getSpeechContexts(int index) {
return speechContexts_.get(index);
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public com.google.cloud.speech.v1p1beta1.SpeechContextOrBuilder getSpeechContextsOrBuilder(
int index) {
return speechContexts_.get(index);
}
public static final int ENABLE_WORD_TIME_OFFSETS_FIELD_NUMBER = 8;
private boolean enableWordTimeOffsets_;
/**
*
*
*
* *Optional* If `true`, the top result includes a list of words and
* the start and end time offsets (timestamps) for those words. If
* `false`, no word-level time offset information is returned. The default is
* `false`.
*
*
* bool enable_word_time_offsets = 8;
*/
public boolean getEnableWordTimeOffsets() {
return enableWordTimeOffsets_;
}
public static final int ENABLE_WORD_CONFIDENCE_FIELD_NUMBER = 15;
private boolean enableWordConfidence_;
/**
*
*
*
* *Optional* If `true`, the top result includes a list of words and the
* confidence for those words. If `false`, no word-level confidence
* information is returned. The default is `false`.
*
*
* bool enable_word_confidence = 15;
*/
public boolean getEnableWordConfidence() {
return enableWordConfidence_;
}
public static final int ENABLE_AUTOMATIC_PUNCTUATION_FIELD_NUMBER = 11;
private boolean enableAutomaticPunctuation_;
/**
*
*
*
* *Optional* If 'true', adds punctuation to recognition result hypotheses.
* This feature is only available in select languages. Setting this for
* requests in other languages has no effect at all.
* The default 'false' value does not add punctuation to result hypotheses.
* Note: This is currently offered as an experimental service, complimentary
* to all users. In the future this may be exclusively available as a
* premium feature.
*
*
* bool enable_automatic_punctuation = 11;
*/
public boolean getEnableAutomaticPunctuation() {
return enableAutomaticPunctuation_;
}
public static final int ENABLE_SPEAKER_DIARIZATION_FIELD_NUMBER = 16;
private boolean enableSpeakerDiarization_;
/**
*
*
*
* *Optional* If 'true', enables speaker detection for each recognized word in
* the top alternative of the recognition result using a speaker_tag provided
* in the WordInfo.
* Note: When this is true, we send all the words from the beginning of the
* audio for the top alternative in every consecutive STREAMING responses.
* This is done in order to improve our speaker tags as our models learn to
* identify the speakers in the conversation over time.
* For non-streaming requests, the diarization results will be provided only
* in the top alternative of the FINAL SpeechRecognitionResult.
*
*
* bool enable_speaker_diarization = 16;
*/
public boolean getEnableSpeakerDiarization() {
return enableSpeakerDiarization_;
}
public static final int DIARIZATION_SPEAKER_COUNT_FIELD_NUMBER = 17;
private int diarizationSpeakerCount_;
/**
*
*
*
* *Optional*
* If set, specifies the estimated number of speakers in the conversation.
* If not set, defaults to '2'.
* Ignored unless enable_speaker_diarization is set to true."
*
*
* int32 diarization_speaker_count = 17;
*/
public int getDiarizationSpeakerCount() {
return diarizationSpeakerCount_;
}
public static final int METADATA_FIELD_NUMBER = 9;
private com.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata_;
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
public boolean hasMetadata() {
return metadata_ != null;
}
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
public com.google.cloud.speech.v1p1beta1.RecognitionMetadata getMetadata() {
return metadata_ == null
? com.google.cloud.speech.v1p1beta1.RecognitionMetadata.getDefaultInstance()
: metadata_;
}
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
public com.google.cloud.speech.v1p1beta1.RecognitionMetadataOrBuilder getMetadataOrBuilder() {
return getMetadata();
}
public static final int MODEL_FIELD_NUMBER = 13;
private volatile java.lang.Object model_;
/**
*
*
*
* *Optional* Which model to select for the given request. Select the model
* best suited to your domain to get best results. If a model is not
* explicitly specified, then we auto-select a model based on the parameters
* in the RecognitionConfig.
* <table>
* <tr>
* <td><b>Model</b></td>
* <td><b>Description</b></td>
* </tr>
* <tr>
* <td><code>command_and_search</code></td>
* <td>Best for short queries such as voice commands or voice search.</td>
* </tr>
* <tr>
* <td><code>phone_call</code></td>
* <td>Best for audio that originated from a phone call (typically
* recorded at an 8khz sampling rate).</td>
* </tr>
* <tr>
* <td><code>video</code></td>
* <td>Best for audio that originated from from video or includes multiple
* speakers. Ideally the audio is recorded at a 16khz or greater
* sampling rate. This is a premium model that costs more than the
* standard rate.</td>
* </tr>
* <tr>
* <td><code>default</code></td>
* <td>Best for audio that is not one of the specific audio models.
* For example, long-form audio. Ideally the audio is high-fidelity,
* recorded at a 16khz or greater sampling rate.</td>
* </tr>
* </table>
*
*
* string model = 13;
*/
public java.lang.String getModel() {
java.lang.Object ref = model_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
model_ = s;
return s;
}
}
/**
*
*
*
* *Optional* Which model to select for the given request. Select the model
* best suited to your domain to get best results. If a model is not
* explicitly specified, then we auto-select a model based on the parameters
* in the RecognitionConfig.
* <table>
* <tr>
* <td><b>Model</b></td>
* <td><b>Description</b></td>
* </tr>
* <tr>
* <td><code>command_and_search</code></td>
* <td>Best for short queries such as voice commands or voice search.</td>
* </tr>
* <tr>
* <td><code>phone_call</code></td>
* <td>Best for audio that originated from a phone call (typically
* recorded at an 8khz sampling rate).</td>
* </tr>
* <tr>
* <td><code>video</code></td>
* <td>Best for audio that originated from from video or includes multiple
* speakers. Ideally the audio is recorded at a 16khz or greater
* sampling rate. This is a premium model that costs more than the
* standard rate.</td>
* </tr>
* <tr>
* <td><code>default</code></td>
* <td>Best for audio that is not one of the specific audio models.
* For example, long-form audio. Ideally the audio is high-fidelity,
* recorded at a 16khz or greater sampling rate.</td>
* </tr>
* </table>
*
*
* string model = 13;
*/
public com.google.protobuf.ByteString getModelBytes() {
java.lang.Object ref = model_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
model_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int USE_ENHANCED_FIELD_NUMBER = 14;
private boolean useEnhanced_;
/**
*
*
*
* *Optional* Set to true to use an enhanced model for speech recognition.
* If `use_enhanced` is set to true and the `model` field is not set, then
* an appropriate enhanced model is chosen if:
* 1. project is eligible for requesting enhanced models
* 2. an enhanced model exists for the audio
* If `use_enhanced` is true and an enhanced version of the specified model
* does not exist, then the speech is recognized using the standard version
* of the specified model.
* Enhanced speech models require that you opt-in to data logging using
* instructions in the
* [documentation](/speech-to-text/docs/enable-data-logging). If you set
* `use_enhanced` to true and you have not enabled audio logging, then you
* will receive an error.
*
*
* bool use_enhanced = 14;
*/
public boolean getUseEnhanced() {
return useEnhanced_;
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
if (encoding_
!= com.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding.ENCODING_UNSPECIFIED
.getNumber()) {
output.writeEnum(1, encoding_);
}
if (sampleRateHertz_ != 0) {
output.writeInt32(2, sampleRateHertz_);
}
if (!getLanguageCodeBytes().isEmpty()) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 3, languageCode_);
}
if (maxAlternatives_ != 0) {
output.writeInt32(4, maxAlternatives_);
}
if (profanityFilter_ != false) {
output.writeBool(5, profanityFilter_);
}
for (int i = 0; i < speechContexts_.size(); i++) {
output.writeMessage(6, speechContexts_.get(i));
}
if (audioChannelCount_ != 0) {
output.writeInt32(7, audioChannelCount_);
}
if (enableWordTimeOffsets_ != false) {
output.writeBool(8, enableWordTimeOffsets_);
}
if (metadata_ != null) {
output.writeMessage(9, getMetadata());
}
if (enableAutomaticPunctuation_ != false) {
output.writeBool(11, enableAutomaticPunctuation_);
}
if (enableSeparateRecognitionPerChannel_ != false) {
output.writeBool(12, enableSeparateRecognitionPerChannel_);
}
if (!getModelBytes().isEmpty()) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 13, model_);
}
if (useEnhanced_ != false) {
output.writeBool(14, useEnhanced_);
}
if (enableWordConfidence_ != false) {
output.writeBool(15, enableWordConfidence_);
}
if (enableSpeakerDiarization_ != false) {
output.writeBool(16, enableSpeakerDiarization_);
}
if (diarizationSpeakerCount_ != 0) {
output.writeInt32(17, diarizationSpeakerCount_);
}
for (int i = 0; i < alternativeLanguageCodes_.size(); i++) {
com.google.protobuf.GeneratedMessageV3.writeString(
output, 18, alternativeLanguageCodes_.getRaw(i));
}
unknownFields.writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (encoding_
!= com.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding.ENCODING_UNSPECIFIED
.getNumber()) {
size += com.google.protobuf.CodedOutputStream.computeEnumSize(1, encoding_);
}
if (sampleRateHertz_ != 0) {
size += com.google.protobuf.CodedOutputStream.computeInt32Size(2, sampleRateHertz_);
}
if (!getLanguageCodeBytes().isEmpty()) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, languageCode_);
}
if (maxAlternatives_ != 0) {
size += com.google.protobuf.CodedOutputStream.computeInt32Size(4, maxAlternatives_);
}
if (profanityFilter_ != false) {
size += com.google.protobuf.CodedOutputStream.computeBoolSize(5, profanityFilter_);
}
for (int i = 0; i < speechContexts_.size(); i++) {
size += com.google.protobuf.CodedOutputStream.computeMessageSize(6, speechContexts_.get(i));
}
if (audioChannelCount_ != 0) {
size += com.google.protobuf.CodedOutputStream.computeInt32Size(7, audioChannelCount_);
}
if (enableWordTimeOffsets_ != false) {
size += com.google.protobuf.CodedOutputStream.computeBoolSize(8, enableWordTimeOffsets_);
}
if (metadata_ != null) {
size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, getMetadata());
}
if (enableAutomaticPunctuation_ != false) {
size +=
com.google.protobuf.CodedOutputStream.computeBoolSize(11, enableAutomaticPunctuation_);
}
if (enableSeparateRecognitionPerChannel_ != false) {
size +=
com.google.protobuf.CodedOutputStream.computeBoolSize(
12, enableSeparateRecognitionPerChannel_);
}
if (!getModelBytes().isEmpty()) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(13, model_);
}
if (useEnhanced_ != false) {
size += com.google.protobuf.CodedOutputStream.computeBoolSize(14, useEnhanced_);
}
if (enableWordConfidence_ != false) {
size += com.google.protobuf.CodedOutputStream.computeBoolSize(15, enableWordConfidence_);
}
if (enableSpeakerDiarization_ != false) {
size += com.google.protobuf.CodedOutputStream.computeBoolSize(16, enableSpeakerDiarization_);
}
if (diarizationSpeakerCount_ != 0) {
size += com.google.protobuf.CodedOutputStream.computeInt32Size(17, diarizationSpeakerCount_);
}
{
int dataSize = 0;
for (int i = 0; i < alternativeLanguageCodes_.size(); i++) {
dataSize += computeStringSizeNoTag(alternativeLanguageCodes_.getRaw(i));
}
size += dataSize;
size += 2 * getAlternativeLanguageCodesList().size();
}
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof com.google.cloud.speech.v1p1beta1.RecognitionConfig)) {
return super.equals(obj);
}
com.google.cloud.speech.v1p1beta1.RecognitionConfig other =
(com.google.cloud.speech.v1p1beta1.RecognitionConfig) obj;
boolean result = true;
result = result && encoding_ == other.encoding_;
result = result && (getSampleRateHertz() == other.getSampleRateHertz());
result = result && (getAudioChannelCount() == other.getAudioChannelCount());
result =
result
&& (getEnableSeparateRecognitionPerChannel()
== other.getEnableSeparateRecognitionPerChannel());
result = result && getLanguageCode().equals(other.getLanguageCode());
result =
result && getAlternativeLanguageCodesList().equals(other.getAlternativeLanguageCodesList());
result = result && (getMaxAlternatives() == other.getMaxAlternatives());
result = result && (getProfanityFilter() == other.getProfanityFilter());
result = result && getSpeechContextsList().equals(other.getSpeechContextsList());
result = result && (getEnableWordTimeOffsets() == other.getEnableWordTimeOffsets());
result = result && (getEnableWordConfidence() == other.getEnableWordConfidence());
result = result && (getEnableAutomaticPunctuation() == other.getEnableAutomaticPunctuation());
result = result && (getEnableSpeakerDiarization() == other.getEnableSpeakerDiarization());
result = result && (getDiarizationSpeakerCount() == other.getDiarizationSpeakerCount());
result = result && (hasMetadata() == other.hasMetadata());
if (hasMetadata()) {
result = result && getMetadata().equals(other.getMetadata());
}
result = result && getModel().equals(other.getModel());
result = result && (getUseEnhanced() == other.getUseEnhanced());
result = result && unknownFields.equals(other.unknownFields);
return result;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + ENCODING_FIELD_NUMBER;
hash = (53 * hash) + encoding_;
hash = (37 * hash) + SAMPLE_RATE_HERTZ_FIELD_NUMBER;
hash = (53 * hash) + getSampleRateHertz();
hash = (37 * hash) + AUDIO_CHANNEL_COUNT_FIELD_NUMBER;
hash = (53 * hash) + getAudioChannelCount();
hash = (37 * hash) + ENABLE_SEPARATE_RECOGNITION_PER_CHANNEL_FIELD_NUMBER;
hash =
(53 * hash)
+ com.google.protobuf.Internal.hashBoolean(getEnableSeparateRecognitionPerChannel());
hash = (37 * hash) + LANGUAGE_CODE_FIELD_NUMBER;
hash = (53 * hash) + getLanguageCode().hashCode();
if (getAlternativeLanguageCodesCount() > 0) {
hash = (37 * hash) + ALTERNATIVE_LANGUAGE_CODES_FIELD_NUMBER;
hash = (53 * hash) + getAlternativeLanguageCodesList().hashCode();
}
hash = (37 * hash) + MAX_ALTERNATIVES_FIELD_NUMBER;
hash = (53 * hash) + getMaxAlternatives();
hash = (37 * hash) + PROFANITY_FILTER_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getProfanityFilter());
if (getSpeechContextsCount() > 0) {
hash = (37 * hash) + SPEECH_CONTEXTS_FIELD_NUMBER;
hash = (53 * hash) + getSpeechContextsList().hashCode();
}
hash = (37 * hash) + ENABLE_WORD_TIME_OFFSETS_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getEnableWordTimeOffsets());
hash = (37 * hash) + ENABLE_WORD_CONFIDENCE_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getEnableWordConfidence());
hash = (37 * hash) + ENABLE_AUTOMATIC_PUNCTUATION_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getEnableAutomaticPunctuation());
hash = (37 * hash) + ENABLE_SPEAKER_DIARIZATION_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getEnableSpeakerDiarization());
hash = (37 * hash) + DIARIZATION_SPEAKER_COUNT_FIELD_NUMBER;
hash = (53 * hash) + getDiarizationSpeakerCount();
if (hasMetadata()) {
hash = (37 * hash) + METADATA_FIELD_NUMBER;
hash = (53 * hash) + getMetadata().hashCode();
}
hash = (37 * hash) + MODEL_FIELD_NUMBER;
hash = (53 * hash) + getModel().hashCode();
hash = (37 * hash) + USE_ENHANCED_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(getUseEnhanced());
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseFrom(
java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseDelimitedFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(com.google.cloud.speech.v1p1beta1.RecognitionConfig prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
*
*
* Provides information to the recognizer that specifies how to process the
* request.
*
*
* Protobuf type {@code google.cloud.speech.v1p1beta1.RecognitionConfig}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.speech.v1p1beta1.RecognitionConfig)
com.google.cloud.speech.v1p1beta1.RecognitionConfigOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.speech.v1p1beta1.SpeechProto
.internal_static_google_cloud_speech_v1p1beta1_RecognitionConfig_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.speech.v1p1beta1.SpeechProto
.internal_static_google_cloud_speech_v1p1beta1_RecognitionConfig_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.speech.v1p1beta1.RecognitionConfig.class,
com.google.cloud.speech.v1p1beta1.RecognitionConfig.Builder.class);
}
// Construct using com.google.cloud.speech.v1p1beta1.RecognitionConfig.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
getSpeechContextsFieldBuilder();
}
}
@java.lang.Override
public Builder clear() {
super.clear();
encoding_ = 0;
sampleRateHertz_ = 0;
audioChannelCount_ = 0;
enableSeparateRecognitionPerChannel_ = false;
languageCode_ = "";
alternativeLanguageCodes_ = com.google.protobuf.LazyStringArrayList.EMPTY;
bitField0_ = (bitField0_ & ~0x00000020);
maxAlternatives_ = 0;
profanityFilter_ = false;
if (speechContextsBuilder_ == null) {
speechContexts_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000100);
} else {
speechContextsBuilder_.clear();
}
enableWordTimeOffsets_ = false;
enableWordConfidence_ = false;
enableAutomaticPunctuation_ = false;
enableSpeakerDiarization_ = false;
diarizationSpeakerCount_ = 0;
if (metadataBuilder_ == null) {
metadata_ = null;
} else {
metadata_ = null;
metadataBuilder_ = null;
}
model_ = "";
useEnhanced_ = false;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.speech.v1p1beta1.SpeechProto
.internal_static_google_cloud_speech_v1p1beta1_RecognitionConfig_descriptor;
}
@java.lang.Override
public com.google.cloud.speech.v1p1beta1.RecognitionConfig getDefaultInstanceForType() {
return com.google.cloud.speech.v1p1beta1.RecognitionConfig.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.speech.v1p1beta1.RecognitionConfig build() {
com.google.cloud.speech.v1p1beta1.RecognitionConfig result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.speech.v1p1beta1.RecognitionConfig buildPartial() {
com.google.cloud.speech.v1p1beta1.RecognitionConfig result =
new com.google.cloud.speech.v1p1beta1.RecognitionConfig(this);
int from_bitField0_ = bitField0_;
int to_bitField0_ = 0;
result.encoding_ = encoding_;
result.sampleRateHertz_ = sampleRateHertz_;
result.audioChannelCount_ = audioChannelCount_;
result.enableSeparateRecognitionPerChannel_ = enableSeparateRecognitionPerChannel_;
result.languageCode_ = languageCode_;
if (((bitField0_ & 0x00000020) == 0x00000020)) {
alternativeLanguageCodes_ = alternativeLanguageCodes_.getUnmodifiableView();
bitField0_ = (bitField0_ & ~0x00000020);
}
result.alternativeLanguageCodes_ = alternativeLanguageCodes_;
result.maxAlternatives_ = maxAlternatives_;
result.profanityFilter_ = profanityFilter_;
if (speechContextsBuilder_ == null) {
if (((bitField0_ & 0x00000100) == 0x00000100)) {
speechContexts_ = java.util.Collections.unmodifiableList(speechContexts_);
bitField0_ = (bitField0_ & ~0x00000100);
}
result.speechContexts_ = speechContexts_;
} else {
result.speechContexts_ = speechContextsBuilder_.build();
}
result.enableWordTimeOffsets_ = enableWordTimeOffsets_;
result.enableWordConfidence_ = enableWordConfidence_;
result.enableAutomaticPunctuation_ = enableAutomaticPunctuation_;
result.enableSpeakerDiarization_ = enableSpeakerDiarization_;
result.diarizationSpeakerCount_ = diarizationSpeakerCount_;
if (metadataBuilder_ == null) {
result.metadata_ = metadata_;
} else {
result.metadata_ = metadataBuilder_.build();
}
result.model_ = model_;
result.useEnhanced_ = useEnhanced_;
result.bitField0_ = to_bitField0_;
onBuilt();
return result;
}
@java.lang.Override
public Builder clone() {
return (Builder) super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return (Builder) super.setField(field, value);
}
@java.lang.Override
public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
return (Builder) super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return (Builder) super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
return (Builder) super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return (Builder) super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof com.google.cloud.speech.v1p1beta1.RecognitionConfig) {
return mergeFrom((com.google.cloud.speech.v1p1beta1.RecognitionConfig) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(com.google.cloud.speech.v1p1beta1.RecognitionConfig other) {
if (other == com.google.cloud.speech.v1p1beta1.RecognitionConfig.getDefaultInstance())
return this;
if (other.encoding_ != 0) {
setEncodingValue(other.getEncodingValue());
}
if (other.getSampleRateHertz() != 0) {
setSampleRateHertz(other.getSampleRateHertz());
}
if (other.getAudioChannelCount() != 0) {
setAudioChannelCount(other.getAudioChannelCount());
}
if (other.getEnableSeparateRecognitionPerChannel() != false) {
setEnableSeparateRecognitionPerChannel(other.getEnableSeparateRecognitionPerChannel());
}
if (!other.getLanguageCode().isEmpty()) {
languageCode_ = other.languageCode_;
onChanged();
}
if (!other.alternativeLanguageCodes_.isEmpty()) {
if (alternativeLanguageCodes_.isEmpty()) {
alternativeLanguageCodes_ = other.alternativeLanguageCodes_;
bitField0_ = (bitField0_ & ~0x00000020);
} else {
ensureAlternativeLanguageCodesIsMutable();
alternativeLanguageCodes_.addAll(other.alternativeLanguageCodes_);
}
onChanged();
}
if (other.getMaxAlternatives() != 0) {
setMaxAlternatives(other.getMaxAlternatives());
}
if (other.getProfanityFilter() != false) {
setProfanityFilter(other.getProfanityFilter());
}
if (speechContextsBuilder_ == null) {
if (!other.speechContexts_.isEmpty()) {
if (speechContexts_.isEmpty()) {
speechContexts_ = other.speechContexts_;
bitField0_ = (bitField0_ & ~0x00000100);
} else {
ensureSpeechContextsIsMutable();
speechContexts_.addAll(other.speechContexts_);
}
onChanged();
}
} else {
if (!other.speechContexts_.isEmpty()) {
if (speechContextsBuilder_.isEmpty()) {
speechContextsBuilder_.dispose();
speechContextsBuilder_ = null;
speechContexts_ = other.speechContexts_;
bitField0_ = (bitField0_ & ~0x00000100);
speechContextsBuilder_ =
com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
? getSpeechContextsFieldBuilder()
: null;
} else {
speechContextsBuilder_.addAllMessages(other.speechContexts_);
}
}
}
if (other.getEnableWordTimeOffsets() != false) {
setEnableWordTimeOffsets(other.getEnableWordTimeOffsets());
}
if (other.getEnableWordConfidence() != false) {
setEnableWordConfidence(other.getEnableWordConfidence());
}
if (other.getEnableAutomaticPunctuation() != false) {
setEnableAutomaticPunctuation(other.getEnableAutomaticPunctuation());
}
if (other.getEnableSpeakerDiarization() != false) {
setEnableSpeakerDiarization(other.getEnableSpeakerDiarization());
}
if (other.getDiarizationSpeakerCount() != 0) {
setDiarizationSpeakerCount(other.getDiarizationSpeakerCount());
}
if (other.hasMetadata()) {
mergeMetadata(other.getMetadata());
}
if (!other.getModel().isEmpty()) {
model_ = other.model_;
onChanged();
}
if (other.getUseEnhanced() != false) {
setUseEnhanced(other.getUseEnhanced());
}
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
com.google.cloud.speech.v1p1beta1.RecognitionConfig parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
parsedMessage =
(com.google.cloud.speech.v1p1beta1.RecognitionConfig) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int bitField0_;
private int encoding_ = 0;
/**
*
*
*
* Encoding of audio data sent in all `RecognitionAudio` messages.
* This field is optional for `FLAC` and `WAV` audio files and required
* for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
*
*
* .google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
*/
public int getEncodingValue() {
return encoding_;
}
/**
*
*
*
* Encoding of audio data sent in all `RecognitionAudio` messages.
* This field is optional for `FLAC` and `WAV` audio files and required
* for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
*
*
* .google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
*/
public Builder setEncodingValue(int value) {
encoding_ = value;
onChanged();
return this;
}
/**
*
*
*
* Encoding of audio data sent in all `RecognitionAudio` messages.
* This field is optional for `FLAC` and `WAV` audio files and required
* for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
*
*
* .google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
*/
public com.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding getEncoding() {
@SuppressWarnings("deprecation")
com.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding result =
com.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding.valueOf(encoding_);
return result == null
? com.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding.UNRECOGNIZED
: result;
}
/**
*
*
*
* Encoding of audio data sent in all `RecognitionAudio` messages.
* This field is optional for `FLAC` and `WAV` audio files and required
* for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
*
*
* .google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
*/
public Builder setEncoding(
com.google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding value) {
if (value == null) {
throw new NullPointerException();
}
encoding_ = value.getNumber();
onChanged();
return this;
}
/**
*
*
*
* Encoding of audio data sent in all `RecognitionAudio` messages.
* This field is optional for `FLAC` and `WAV` audio files and required
* for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
*
*
* .google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding encoding = 1;
*/
public Builder clearEncoding() {
encoding_ = 0;
onChanged();
return this;
}
private int sampleRateHertz_;
/**
*
*
*
* Sample rate in Hertz of the audio data sent in all
* `RecognitionAudio` messages. Valid values are: 8000-48000.
* 16000 is optimal. For best results, set the sampling rate of the audio
* source to 16000 Hz. If that's not possible, use the native sample rate of
* the audio source (instead of re-sampling).
* This field is optional for `FLAC` and `WAV` audio files and required
* for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
*
*
* int32 sample_rate_hertz = 2;
*/
public int getSampleRateHertz() {
return sampleRateHertz_;
}
/**
*
*
*
* Sample rate in Hertz of the audio data sent in all
* `RecognitionAudio` messages. Valid values are: 8000-48000.
* 16000 is optimal. For best results, set the sampling rate of the audio
* source to 16000 Hz. If that's not possible, use the native sample rate of
* the audio source (instead of re-sampling).
* This field is optional for `FLAC` and `WAV` audio files and required
* for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
*
*
* int32 sample_rate_hertz = 2;
*/
public Builder setSampleRateHertz(int value) {
sampleRateHertz_ = value;
onChanged();
return this;
}
/**
*
*
*
* Sample rate in Hertz of the audio data sent in all
* `RecognitionAudio` messages. Valid values are: 8000-48000.
* 16000 is optimal. For best results, set the sampling rate of the audio
* source to 16000 Hz. If that's not possible, use the native sample rate of
* the audio source (instead of re-sampling).
* This field is optional for `FLAC` and `WAV` audio files and required
* for all other audio formats. For details, see [AudioEncoding][google.cloud.speech.v1p1beta1.RecognitionConfig.AudioEncoding].
*
*
* int32 sample_rate_hertz = 2;
*/
public Builder clearSampleRateHertz() {
sampleRateHertz_ = 0;
onChanged();
return this;
}
private int audioChannelCount_;
/**
*
*
*
* *Optional* The number of channels in the input audio data.
* ONLY set this for MULTI-CHANNEL recognition.
* Valid values for LINEAR16 and FLAC are `1`-`8`.
* Valid values for OGG_OPUS are '1'-'254'.
* Valid value for MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only `1`.
* If `0` or omitted, defaults to one channel (mono).
* Note: We only recognize the first channel by default.
* To perform independent recognition on each channel set
* `enable_separate_recognition_per_channel` to 'true'.
*
*
* int32 audio_channel_count = 7;
*/
public int getAudioChannelCount() {
return audioChannelCount_;
}
/**
*
*
*
* *Optional* The number of channels in the input audio data.
* ONLY set this for MULTI-CHANNEL recognition.
* Valid values for LINEAR16 and FLAC are `1`-`8`.
* Valid values for OGG_OPUS are '1'-'254'.
* Valid value for MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only `1`.
* If `0` or omitted, defaults to one channel (mono).
* Note: We only recognize the first channel by default.
* To perform independent recognition on each channel set
* `enable_separate_recognition_per_channel` to 'true'.
*
*
* int32 audio_channel_count = 7;
*/
public Builder setAudioChannelCount(int value) {
audioChannelCount_ = value;
onChanged();
return this;
}
/**
*
*
*
* *Optional* The number of channels in the input audio data.
* ONLY set this for MULTI-CHANNEL recognition.
* Valid values for LINEAR16 and FLAC are `1`-`8`.
* Valid values for OGG_OPUS are '1'-'254'.
* Valid value for MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only `1`.
* If `0` or omitted, defaults to one channel (mono).
* Note: We only recognize the first channel by default.
* To perform independent recognition on each channel set
* `enable_separate_recognition_per_channel` to 'true'.
*
*
* int32 audio_channel_count = 7;
*/
public Builder clearAudioChannelCount() {
audioChannelCount_ = 0;
onChanged();
return this;
}
private boolean enableSeparateRecognitionPerChannel_;
/**
*
*
*
* This needs to be set to ‘true’ explicitly and `audio_channel_count` > 1
* to get each channel recognized separately. The recognition result will
* contain a `channel_tag` field to state which channel that result belongs
* to. If this is not true, we will only recognize the first channel. The
* request is billed cumulatively for all channels recognized:
* `audio_channel_count` multiplied by the length of the audio.
*
*
* bool enable_separate_recognition_per_channel = 12;
*/
public boolean getEnableSeparateRecognitionPerChannel() {
return enableSeparateRecognitionPerChannel_;
}
/**
*
*
*
* This needs to be set to ‘true’ explicitly and `audio_channel_count` > 1
* to get each channel recognized separately. The recognition result will
* contain a `channel_tag` field to state which channel that result belongs
* to. If this is not true, we will only recognize the first channel. The
* request is billed cumulatively for all channels recognized:
* `audio_channel_count` multiplied by the length of the audio.
*
*
* bool enable_separate_recognition_per_channel = 12;
*/
public Builder setEnableSeparateRecognitionPerChannel(boolean value) {
enableSeparateRecognitionPerChannel_ = value;
onChanged();
return this;
}
/**
*
*
*
* This needs to be set to ‘true’ explicitly and `audio_channel_count` > 1
* to get each channel recognized separately. The recognition result will
* contain a `channel_tag` field to state which channel that result belongs
* to. If this is not true, we will only recognize the first channel. The
* request is billed cumulatively for all channels recognized:
* `audio_channel_count` multiplied by the length of the audio.
*
*
* bool enable_separate_recognition_per_channel = 12;
*/
public Builder clearEnableSeparateRecognitionPerChannel() {
enableSeparateRecognitionPerChannel_ = false;
onChanged();
return this;
}
private java.lang.Object languageCode_ = "";
/**
*
*
*
* *Required* The language of the supplied audio as a
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
* Example: "en-US".
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
*
*
* string language_code = 3;
*/
public java.lang.String getLanguageCode() {
java.lang.Object ref = languageCode_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
languageCode_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
*
*
* *Required* The language of the supplied audio as a
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
* Example: "en-US".
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
*
*
* string language_code = 3;
*/
public com.google.protobuf.ByteString getLanguageCodeBytes() {
java.lang.Object ref = languageCode_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
languageCode_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
*
*
* *Required* The language of the supplied audio as a
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
* Example: "en-US".
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
*
*
* string language_code = 3;
*/
public Builder setLanguageCode(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
languageCode_ = value;
onChanged();
return this;
}
/**
*
*
*
* *Required* The language of the supplied audio as a
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
* Example: "en-US".
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
*
*
* string language_code = 3;
*/
public Builder clearLanguageCode() {
languageCode_ = getDefaultInstance().getLanguageCode();
onChanged();
return this;
}
/**
*
*
*
* *Required* The language of the supplied audio as a
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
* Example: "en-US".
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
*
*
* string language_code = 3;
*/
public Builder setLanguageCodeBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
languageCode_ = value;
onChanged();
return this;
}
private com.google.protobuf.LazyStringList alternativeLanguageCodes_ =
com.google.protobuf.LazyStringArrayList.EMPTY;
private void ensureAlternativeLanguageCodesIsMutable() {
if (!((bitField0_ & 0x00000020) == 0x00000020)) {
alternativeLanguageCodes_ =
new com.google.protobuf.LazyStringArrayList(alternativeLanguageCodes_);
bitField0_ |= 0x00000020;
}
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public com.google.protobuf.ProtocolStringList getAlternativeLanguageCodesList() {
return alternativeLanguageCodes_.getUnmodifiableView();
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public int getAlternativeLanguageCodesCount() {
return alternativeLanguageCodes_.size();
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public java.lang.String getAlternativeLanguageCodes(int index) {
return alternativeLanguageCodes_.get(index);
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public com.google.protobuf.ByteString getAlternativeLanguageCodesBytes(int index) {
return alternativeLanguageCodes_.getByteString(index);
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public Builder setAlternativeLanguageCodes(int index, java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureAlternativeLanguageCodesIsMutable();
alternativeLanguageCodes_.set(index, value);
onChanged();
return this;
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public Builder addAlternativeLanguageCodes(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureAlternativeLanguageCodesIsMutable();
alternativeLanguageCodes_.add(value);
onChanged();
return this;
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public Builder addAllAlternativeLanguageCodes(java.lang.Iterable values) {
ensureAlternativeLanguageCodesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(values, alternativeLanguageCodes_);
onChanged();
return this;
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public Builder clearAlternativeLanguageCodes() {
alternativeLanguageCodes_ = com.google.protobuf.LazyStringArrayList.EMPTY;
bitField0_ = (bitField0_ & ~0x00000020);
onChanged();
return this;
}
/**
*
*
*
* *Optional* A list of up to 3 additional
* [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
* listing possible alternative languages of the supplied audio.
* See [Language Support](/speech-to-text/docs/languages)
* for a list of the currently supported language codes.
* If alternative languages are listed, recognition result will contain
* recognition in the most likely language detected including the main
* language_code. The recognition result will include the language tag
* of the language detected in the audio.
* Note: This feature is only supported for Voice Command and Voice Search
* use cases and performance may vary for other use cases (e.g., phone call
* transcription).
*
*
* repeated string alternative_language_codes = 18;
*/
public Builder addAlternativeLanguageCodesBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
ensureAlternativeLanguageCodesIsMutable();
alternativeLanguageCodes_.add(value);
onChanged();
return this;
}
private int maxAlternatives_;
/**
*
*
*
* *Optional* Maximum number of recognition hypotheses to be returned.
* Specifically, the maximum number of `SpeechRecognitionAlternative` messages
* within each `SpeechRecognitionResult`.
* The server may return fewer than `max_alternatives`.
* Valid values are `0`-`30`. A value of `0` or `1` will return a maximum of
* one. If omitted, will return a maximum of one.
*
*
* int32 max_alternatives = 4;
*/
public int getMaxAlternatives() {
return maxAlternatives_;
}
/**
*
*
*
* *Optional* Maximum number of recognition hypotheses to be returned.
* Specifically, the maximum number of `SpeechRecognitionAlternative` messages
* within each `SpeechRecognitionResult`.
* The server may return fewer than `max_alternatives`.
* Valid values are `0`-`30`. A value of `0` or `1` will return a maximum of
* one. If omitted, will return a maximum of one.
*
*
* int32 max_alternatives = 4;
*/
public Builder setMaxAlternatives(int value) {
maxAlternatives_ = value;
onChanged();
return this;
}
/**
*
*
*
* *Optional* Maximum number of recognition hypotheses to be returned.
* Specifically, the maximum number of `SpeechRecognitionAlternative` messages
* within each `SpeechRecognitionResult`.
* The server may return fewer than `max_alternatives`.
* Valid values are `0`-`30`. A value of `0` or `1` will return a maximum of
* one. If omitted, will return a maximum of one.
*
*
* int32 max_alternatives = 4;
*/
public Builder clearMaxAlternatives() {
maxAlternatives_ = 0;
onChanged();
return this;
}
private boolean profanityFilter_;
/**
*
*
*
* *Optional* If set to `true`, the server will attempt to filter out
* profanities, replacing all but the initial character in each filtered word
* with asterisks, e.g. "f***". If set to `false` or omitted, profanities
* won't be filtered out.
*
*
* bool profanity_filter = 5;
*/
public boolean getProfanityFilter() {
return profanityFilter_;
}
/**
*
*
*
* *Optional* If set to `true`, the server will attempt to filter out
* profanities, replacing all but the initial character in each filtered word
* with asterisks, e.g. "f***". If set to `false` or omitted, profanities
* won't be filtered out.
*
*
* bool profanity_filter = 5;
*/
public Builder setProfanityFilter(boolean value) {
profanityFilter_ = value;
onChanged();
return this;
}
/**
*
*
*
* *Optional* If set to `true`, the server will attempt to filter out
* profanities, replacing all but the initial character in each filtered word
* with asterisks, e.g. "f***". If set to `false` or omitted, profanities
* won't be filtered out.
*
*
* bool profanity_filter = 5;
*/
public Builder clearProfanityFilter() {
profanityFilter_ = false;
onChanged();
return this;
}
private java.util.List speechContexts_ =
java.util.Collections.emptyList();
private void ensureSpeechContextsIsMutable() {
if (!((bitField0_ & 0x00000100) == 0x00000100)) {
speechContexts_ =
new java.util.ArrayList(
speechContexts_);
bitField0_ |= 0x00000100;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.speech.v1p1beta1.SpeechContext,
com.google.cloud.speech.v1p1beta1.SpeechContext.Builder,
com.google.cloud.speech.v1p1beta1.SpeechContextOrBuilder>
speechContextsBuilder_;
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public java.util.List getSpeechContextsList() {
if (speechContextsBuilder_ == null) {
return java.util.Collections.unmodifiableList(speechContexts_);
} else {
return speechContextsBuilder_.getMessageList();
}
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public int getSpeechContextsCount() {
if (speechContextsBuilder_ == null) {
return speechContexts_.size();
} else {
return speechContextsBuilder_.getCount();
}
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public com.google.cloud.speech.v1p1beta1.SpeechContext getSpeechContexts(int index) {
if (speechContextsBuilder_ == null) {
return speechContexts_.get(index);
} else {
return speechContextsBuilder_.getMessage(index);
}
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public Builder setSpeechContexts(
int index, com.google.cloud.speech.v1p1beta1.SpeechContext value) {
if (speechContextsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureSpeechContextsIsMutable();
speechContexts_.set(index, value);
onChanged();
} else {
speechContextsBuilder_.setMessage(index, value);
}
return this;
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public Builder setSpeechContexts(
int index, com.google.cloud.speech.v1p1beta1.SpeechContext.Builder builderForValue) {
if (speechContextsBuilder_ == null) {
ensureSpeechContextsIsMutable();
speechContexts_.set(index, builderForValue.build());
onChanged();
} else {
speechContextsBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public Builder addSpeechContexts(com.google.cloud.speech.v1p1beta1.SpeechContext value) {
if (speechContextsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureSpeechContextsIsMutable();
speechContexts_.add(value);
onChanged();
} else {
speechContextsBuilder_.addMessage(value);
}
return this;
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public Builder addSpeechContexts(
int index, com.google.cloud.speech.v1p1beta1.SpeechContext value) {
if (speechContextsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureSpeechContextsIsMutable();
speechContexts_.add(index, value);
onChanged();
} else {
speechContextsBuilder_.addMessage(index, value);
}
return this;
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public Builder addSpeechContexts(
com.google.cloud.speech.v1p1beta1.SpeechContext.Builder builderForValue) {
if (speechContextsBuilder_ == null) {
ensureSpeechContextsIsMutable();
speechContexts_.add(builderForValue.build());
onChanged();
} else {
speechContextsBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public Builder addSpeechContexts(
int index, com.google.cloud.speech.v1p1beta1.SpeechContext.Builder builderForValue) {
if (speechContextsBuilder_ == null) {
ensureSpeechContextsIsMutable();
speechContexts_.add(index, builderForValue.build());
onChanged();
} else {
speechContextsBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public Builder addAllSpeechContexts(
java.lang.Iterable values) {
if (speechContextsBuilder_ == null) {
ensureSpeechContextsIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(values, speechContexts_);
onChanged();
} else {
speechContextsBuilder_.addAllMessages(values);
}
return this;
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public Builder clearSpeechContexts() {
if (speechContextsBuilder_ == null) {
speechContexts_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000100);
onChanged();
} else {
speechContextsBuilder_.clear();
}
return this;
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public Builder removeSpeechContexts(int index) {
if (speechContextsBuilder_ == null) {
ensureSpeechContextsIsMutable();
speechContexts_.remove(index);
onChanged();
} else {
speechContextsBuilder_.remove(index);
}
return this;
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public com.google.cloud.speech.v1p1beta1.SpeechContext.Builder getSpeechContextsBuilder(
int index) {
return getSpeechContextsFieldBuilder().getBuilder(index);
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public com.google.cloud.speech.v1p1beta1.SpeechContextOrBuilder getSpeechContextsOrBuilder(
int index) {
if (speechContextsBuilder_ == null) {
return speechContexts_.get(index);
} else {
return speechContextsBuilder_.getMessageOrBuilder(index);
}
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public java.util.List
getSpeechContextsOrBuilderList() {
if (speechContextsBuilder_ != null) {
return speechContextsBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(speechContexts_);
}
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public com.google.cloud.speech.v1p1beta1.SpeechContext.Builder addSpeechContextsBuilder() {
return getSpeechContextsFieldBuilder()
.addBuilder(com.google.cloud.speech.v1p1beta1.SpeechContext.getDefaultInstance());
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public com.google.cloud.speech.v1p1beta1.SpeechContext.Builder addSpeechContextsBuilder(
int index) {
return getSpeechContextsFieldBuilder()
.addBuilder(index, com.google.cloud.speech.v1p1beta1.SpeechContext.getDefaultInstance());
}
/**
*
*
*
* *Optional* array of [SpeechContext][google.cloud.speech.v1p1beta1.SpeechContext].
* A means to provide context to assist the speech recognition. For more
* information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
*
*
* repeated .google.cloud.speech.v1p1beta1.SpeechContext speech_contexts = 6;
*/
public java.util.List
getSpeechContextsBuilderList() {
return getSpeechContextsFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.speech.v1p1beta1.SpeechContext,
com.google.cloud.speech.v1p1beta1.SpeechContext.Builder,
com.google.cloud.speech.v1p1beta1.SpeechContextOrBuilder>
getSpeechContextsFieldBuilder() {
if (speechContextsBuilder_ == null) {
speechContextsBuilder_ =
new com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.speech.v1p1beta1.SpeechContext,
com.google.cloud.speech.v1p1beta1.SpeechContext.Builder,
com.google.cloud.speech.v1p1beta1.SpeechContextOrBuilder>(
speechContexts_,
((bitField0_ & 0x00000100) == 0x00000100),
getParentForChildren(),
isClean());
speechContexts_ = null;
}
return speechContextsBuilder_;
}
private boolean enableWordTimeOffsets_;
/**
*
*
*
* *Optional* If `true`, the top result includes a list of words and
* the start and end time offsets (timestamps) for those words. If
* `false`, no word-level time offset information is returned. The default is
* `false`.
*
*
* bool enable_word_time_offsets = 8;
*/
public boolean getEnableWordTimeOffsets() {
return enableWordTimeOffsets_;
}
/**
*
*
*
* *Optional* If `true`, the top result includes a list of words and
* the start and end time offsets (timestamps) for those words. If
* `false`, no word-level time offset information is returned. The default is
* `false`.
*
*
* bool enable_word_time_offsets = 8;
*/
public Builder setEnableWordTimeOffsets(boolean value) {
enableWordTimeOffsets_ = value;
onChanged();
return this;
}
/**
*
*
*
* *Optional* If `true`, the top result includes a list of words and
* the start and end time offsets (timestamps) for those words. If
* `false`, no word-level time offset information is returned. The default is
* `false`.
*
*
* bool enable_word_time_offsets = 8;
*/
public Builder clearEnableWordTimeOffsets() {
enableWordTimeOffsets_ = false;
onChanged();
return this;
}
private boolean enableWordConfidence_;
/**
*
*
*
* *Optional* If `true`, the top result includes a list of words and the
* confidence for those words. If `false`, no word-level confidence
* information is returned. The default is `false`.
*
*
* bool enable_word_confidence = 15;
*/
public boolean getEnableWordConfidence() {
return enableWordConfidence_;
}
/**
*
*
*
* *Optional* If `true`, the top result includes a list of words and the
* confidence for those words. If `false`, no word-level confidence
* information is returned. The default is `false`.
*
*
* bool enable_word_confidence = 15;
*/
public Builder setEnableWordConfidence(boolean value) {
enableWordConfidence_ = value;
onChanged();
return this;
}
/**
*
*
*
* *Optional* If `true`, the top result includes a list of words and the
* confidence for those words. If `false`, no word-level confidence
* information is returned. The default is `false`.
*
*
* bool enable_word_confidence = 15;
*/
public Builder clearEnableWordConfidence() {
enableWordConfidence_ = false;
onChanged();
return this;
}
private boolean enableAutomaticPunctuation_;
/**
*
*
*
* *Optional* If 'true', adds punctuation to recognition result hypotheses.
* This feature is only available in select languages. Setting this for
* requests in other languages has no effect at all.
* The default 'false' value does not add punctuation to result hypotheses.
* Note: This is currently offered as an experimental service, complimentary
* to all users. In the future this may be exclusively available as a
* premium feature.
*
*
* bool enable_automatic_punctuation = 11;
*/
public boolean getEnableAutomaticPunctuation() {
return enableAutomaticPunctuation_;
}
/**
*
*
*
* *Optional* If 'true', adds punctuation to recognition result hypotheses.
* This feature is only available in select languages. Setting this for
* requests in other languages has no effect at all.
* The default 'false' value does not add punctuation to result hypotheses.
* Note: This is currently offered as an experimental service, complimentary
* to all users. In the future this may be exclusively available as a
* premium feature.
*
*
* bool enable_automatic_punctuation = 11;
*/
public Builder setEnableAutomaticPunctuation(boolean value) {
enableAutomaticPunctuation_ = value;
onChanged();
return this;
}
/**
*
*
*
* *Optional* If 'true', adds punctuation to recognition result hypotheses.
* This feature is only available in select languages. Setting this for
* requests in other languages has no effect at all.
* The default 'false' value does not add punctuation to result hypotheses.
* Note: This is currently offered as an experimental service, complimentary
* to all users. In the future this may be exclusively available as a
* premium feature.
*
*
* bool enable_automatic_punctuation = 11;
*/
public Builder clearEnableAutomaticPunctuation() {
enableAutomaticPunctuation_ = false;
onChanged();
return this;
}
private boolean enableSpeakerDiarization_;
/**
*
*
*
* *Optional* If 'true', enables speaker detection for each recognized word in
* the top alternative of the recognition result using a speaker_tag provided
* in the WordInfo.
* Note: When this is true, we send all the words from the beginning of the
* audio for the top alternative in every consecutive STREAMING responses.
* This is done in order to improve our speaker tags as our models learn to
* identify the speakers in the conversation over time.
* For non-streaming requests, the diarization results will be provided only
* in the top alternative of the FINAL SpeechRecognitionResult.
*
*
* bool enable_speaker_diarization = 16;
*/
public boolean getEnableSpeakerDiarization() {
return enableSpeakerDiarization_;
}
/**
*
*
*
* *Optional* If 'true', enables speaker detection for each recognized word in
* the top alternative of the recognition result using a speaker_tag provided
* in the WordInfo.
* Note: When this is true, we send all the words from the beginning of the
* audio for the top alternative in every consecutive STREAMING responses.
* This is done in order to improve our speaker tags as our models learn to
* identify the speakers in the conversation over time.
* For non-streaming requests, the diarization results will be provided only
* in the top alternative of the FINAL SpeechRecognitionResult.
*
*
* bool enable_speaker_diarization = 16;
*/
public Builder setEnableSpeakerDiarization(boolean value) {
enableSpeakerDiarization_ = value;
onChanged();
return this;
}
/**
*
*
*
* *Optional* If 'true', enables speaker detection for each recognized word in
* the top alternative of the recognition result using a speaker_tag provided
* in the WordInfo.
* Note: When this is true, we send all the words from the beginning of the
* audio for the top alternative in every consecutive STREAMING responses.
* This is done in order to improve our speaker tags as our models learn to
* identify the speakers in the conversation over time.
* For non-streaming requests, the diarization results will be provided only
* in the top alternative of the FINAL SpeechRecognitionResult.
*
*
* bool enable_speaker_diarization = 16;
*/
public Builder clearEnableSpeakerDiarization() {
enableSpeakerDiarization_ = false;
onChanged();
return this;
}
private int diarizationSpeakerCount_;
/**
*
*
*
* *Optional*
* If set, specifies the estimated number of speakers in the conversation.
* If not set, defaults to '2'.
* Ignored unless enable_speaker_diarization is set to true."
*
*
* int32 diarization_speaker_count = 17;
*/
public int getDiarizationSpeakerCount() {
return diarizationSpeakerCount_;
}
/**
*
*
*
* *Optional*
* If set, specifies the estimated number of speakers in the conversation.
* If not set, defaults to '2'.
* Ignored unless enable_speaker_diarization is set to true."
*
*
* int32 diarization_speaker_count = 17;
*/
public Builder setDiarizationSpeakerCount(int value) {
diarizationSpeakerCount_ = value;
onChanged();
return this;
}
/**
*
*
*
* *Optional*
* If set, specifies the estimated number of speakers in the conversation.
* If not set, defaults to '2'.
* Ignored unless enable_speaker_diarization is set to true."
*
*
* int32 diarization_speaker_count = 17;
*/
public Builder clearDiarizationSpeakerCount() {
diarizationSpeakerCount_ = 0;
onChanged();
return this;
}
private com.google.cloud.speech.v1p1beta1.RecognitionMetadata metadata_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.speech.v1p1beta1.RecognitionMetadata,
com.google.cloud.speech.v1p1beta1.RecognitionMetadata.Builder,
com.google.cloud.speech.v1p1beta1.RecognitionMetadataOrBuilder>
metadataBuilder_;
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
public boolean hasMetadata() {
return metadataBuilder_ != null || metadata_ != null;
}
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
public com.google.cloud.speech.v1p1beta1.RecognitionMetadata getMetadata() {
if (metadataBuilder_ == null) {
return metadata_ == null
? com.google.cloud.speech.v1p1beta1.RecognitionMetadata.getDefaultInstance()
: metadata_;
} else {
return metadataBuilder_.getMessage();
}
}
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
public Builder setMetadata(com.google.cloud.speech.v1p1beta1.RecognitionMetadata value) {
if (metadataBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
metadata_ = value;
onChanged();
} else {
metadataBuilder_.setMessage(value);
}
return this;
}
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
public Builder setMetadata(
com.google.cloud.speech.v1p1beta1.RecognitionMetadata.Builder builderForValue) {
if (metadataBuilder_ == null) {
metadata_ = builderForValue.build();
onChanged();
} else {
metadataBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
public Builder mergeMetadata(com.google.cloud.speech.v1p1beta1.RecognitionMetadata value) {
if (metadataBuilder_ == null) {
if (metadata_ != null) {
metadata_ =
com.google.cloud.speech.v1p1beta1.RecognitionMetadata.newBuilder(metadata_)
.mergeFrom(value)
.buildPartial();
} else {
metadata_ = value;
}
onChanged();
} else {
metadataBuilder_.mergeFrom(value);
}
return this;
}
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
public Builder clearMetadata() {
if (metadataBuilder_ == null) {
metadata_ = null;
onChanged();
} else {
metadata_ = null;
metadataBuilder_ = null;
}
return this;
}
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
public com.google.cloud.speech.v1p1beta1.RecognitionMetadata.Builder getMetadataBuilder() {
onChanged();
return getMetadataFieldBuilder().getBuilder();
}
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
public com.google.cloud.speech.v1p1beta1.RecognitionMetadataOrBuilder getMetadataOrBuilder() {
if (metadataBuilder_ != null) {
return metadataBuilder_.getMessageOrBuilder();
} else {
return metadata_ == null
? com.google.cloud.speech.v1p1beta1.RecognitionMetadata.getDefaultInstance()
: metadata_;
}
}
/**
*
*
*
* *Optional* Metadata regarding this request.
*
*
* .google.cloud.speech.v1p1beta1.RecognitionMetadata metadata = 9;
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.speech.v1p1beta1.RecognitionMetadata,
com.google.cloud.speech.v1p1beta1.RecognitionMetadata.Builder,
com.google.cloud.speech.v1p1beta1.RecognitionMetadataOrBuilder>
getMetadataFieldBuilder() {
if (metadataBuilder_ == null) {
metadataBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.speech.v1p1beta1.RecognitionMetadata,
com.google.cloud.speech.v1p1beta1.RecognitionMetadata.Builder,
com.google.cloud.speech.v1p1beta1.RecognitionMetadataOrBuilder>(
getMetadata(), getParentForChildren(), isClean());
metadata_ = null;
}
return metadataBuilder_;
}
private java.lang.Object model_ = "";
/**
*
*
*
* *Optional* Which model to select for the given request. Select the model
* best suited to your domain to get best results. If a model is not
* explicitly specified, then we auto-select a model based on the parameters
* in the RecognitionConfig.
* <table>
* <tr>
* <td><b>Model</b></td>
* <td><b>Description</b></td>
* </tr>
* <tr>
* <td><code>command_and_search</code></td>
* <td>Best for short queries such as voice commands or voice search.</td>
* </tr>
* <tr>
* <td><code>phone_call</code></td>
* <td>Best for audio that originated from a phone call (typically
* recorded at an 8khz sampling rate).</td>
* </tr>
* <tr>
* <td><code>video</code></td>
* <td>Best for audio that originated from from video or includes multiple
* speakers. Ideally the audio is recorded at a 16khz or greater
* sampling rate. This is a premium model that costs more than the
* standard rate.</td>
* </tr>
* <tr>
* <td><code>default</code></td>
* <td>Best for audio that is not one of the specific audio models.
* For example, long-form audio. Ideally the audio is high-fidelity,
* recorded at a 16khz or greater sampling rate.</td>
* </tr>
* </table>
*
*
* string model = 13;
*/
public java.lang.String getModel() {
java.lang.Object ref = model_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
model_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
*
*
* *Optional* Which model to select for the given request. Select the model
* best suited to your domain to get best results. If a model is not
* explicitly specified, then we auto-select a model based on the parameters
* in the RecognitionConfig.
* <table>
* <tr>
* <td><b>Model</b></td>
* <td><b>Description</b></td>
* </tr>
* <tr>
* <td><code>command_and_search</code></td>
* <td>Best for short queries such as voice commands or voice search.</td>
* </tr>
* <tr>
* <td><code>phone_call</code></td>
* <td>Best for audio that originated from a phone call (typically
* recorded at an 8khz sampling rate).</td>
* </tr>
* <tr>
* <td><code>video</code></td>
* <td>Best for audio that originated from from video or includes multiple
* speakers. Ideally the audio is recorded at a 16khz or greater
* sampling rate. This is a premium model that costs more than the
* standard rate.</td>
* </tr>
* <tr>
* <td><code>default</code></td>
* <td>Best for audio that is not one of the specific audio models.
* For example, long-form audio. Ideally the audio is high-fidelity,
* recorded at a 16khz or greater sampling rate.</td>
* </tr>
* </table>
*
*
* string model = 13;
*/
public com.google.protobuf.ByteString getModelBytes() {
java.lang.Object ref = model_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
model_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
*
*
* *Optional* Which model to select for the given request. Select the model
* best suited to your domain to get best results. If a model is not
* explicitly specified, then we auto-select a model based on the parameters
* in the RecognitionConfig.
* <table>
* <tr>
* <td><b>Model</b></td>
* <td><b>Description</b></td>
* </tr>
* <tr>
* <td><code>command_and_search</code></td>
* <td>Best for short queries such as voice commands or voice search.</td>
* </tr>
* <tr>
* <td><code>phone_call</code></td>
* <td>Best for audio that originated from a phone call (typically
* recorded at an 8khz sampling rate).</td>
* </tr>
* <tr>
* <td><code>video</code></td>
* <td>Best for audio that originated from from video or includes multiple
* speakers. Ideally the audio is recorded at a 16khz or greater
* sampling rate. This is a premium model that costs more than the
* standard rate.</td>
* </tr>
* <tr>
* <td><code>default</code></td>
* <td>Best for audio that is not one of the specific audio models.
* For example, long-form audio. Ideally the audio is high-fidelity,
* recorded at a 16khz or greater sampling rate.</td>
* </tr>
* </table>
*
*
* string model = 13;
*/
public Builder setModel(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
model_ = value;
onChanged();
return this;
}
/**
*
*
*
* *Optional* Which model to select for the given request. Select the model
* best suited to your domain to get best results. If a model is not
* explicitly specified, then we auto-select a model based on the parameters
* in the RecognitionConfig.
* <table>
* <tr>
* <td><b>Model</b></td>
* <td><b>Description</b></td>
* </tr>
* <tr>
* <td><code>command_and_search</code></td>
* <td>Best for short queries such as voice commands or voice search.</td>
* </tr>
* <tr>
* <td><code>phone_call</code></td>
* <td>Best for audio that originated from a phone call (typically
* recorded at an 8khz sampling rate).</td>
* </tr>
* <tr>
* <td><code>video</code></td>
* <td>Best for audio that originated from from video or includes multiple
* speakers. Ideally the audio is recorded at a 16khz or greater
* sampling rate. This is a premium model that costs more than the
* standard rate.</td>
* </tr>
* <tr>
* <td><code>default</code></td>
* <td>Best for audio that is not one of the specific audio models.
* For example, long-form audio. Ideally the audio is high-fidelity,
* recorded at a 16khz or greater sampling rate.</td>
* </tr>
* </table>
*
*
* string model = 13;
*/
public Builder clearModel() {
model_ = getDefaultInstance().getModel();
onChanged();
return this;
}
/**
*
*
*
* *Optional* Which model to select for the given request. Select the model
* best suited to your domain to get best results. If a model is not
* explicitly specified, then we auto-select a model based on the parameters
* in the RecognitionConfig.
* <table>
* <tr>
* <td><b>Model</b></td>
* <td><b>Description</b></td>
* </tr>
* <tr>
* <td><code>command_and_search</code></td>
* <td>Best for short queries such as voice commands or voice search.</td>
* </tr>
* <tr>
* <td><code>phone_call</code></td>
* <td>Best for audio that originated from a phone call (typically
* recorded at an 8khz sampling rate).</td>
* </tr>
* <tr>
* <td><code>video</code></td>
* <td>Best for audio that originated from from video or includes multiple
* speakers. Ideally the audio is recorded at a 16khz or greater
* sampling rate. This is a premium model that costs more than the
* standard rate.</td>
* </tr>
* <tr>
* <td><code>default</code></td>
* <td>Best for audio that is not one of the specific audio models.
* For example, long-form audio. Ideally the audio is high-fidelity,
* recorded at a 16khz or greater sampling rate.</td>
* </tr>
* </table>
*
*
* string model = 13;
*/
public Builder setModelBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
model_ = value;
onChanged();
return this;
}
private boolean useEnhanced_;
/**
*
*
*
* *Optional* Set to true to use an enhanced model for speech recognition.
* If `use_enhanced` is set to true and the `model` field is not set, then
* an appropriate enhanced model is chosen if:
* 1. project is eligible for requesting enhanced models
* 2. an enhanced model exists for the audio
* If `use_enhanced` is true and an enhanced version of the specified model
* does not exist, then the speech is recognized using the standard version
* of the specified model.
* Enhanced speech models require that you opt-in to data logging using
* instructions in the
* [documentation](/speech-to-text/docs/enable-data-logging). If you set
* `use_enhanced` to true and you have not enabled audio logging, then you
* will receive an error.
*
*
* bool use_enhanced = 14;
*/
public boolean getUseEnhanced() {
return useEnhanced_;
}
/**
*
*
*
* *Optional* Set to true to use an enhanced model for speech recognition.
* If `use_enhanced` is set to true and the `model` field is not set, then
* an appropriate enhanced model is chosen if:
* 1. project is eligible for requesting enhanced models
* 2. an enhanced model exists for the audio
* If `use_enhanced` is true and an enhanced version of the specified model
* does not exist, then the speech is recognized using the standard version
* of the specified model.
* Enhanced speech models require that you opt-in to data logging using
* instructions in the
* [documentation](/speech-to-text/docs/enable-data-logging). If you set
* `use_enhanced` to true and you have not enabled audio logging, then you
* will receive an error.
*
*
* bool use_enhanced = 14;
*/
public Builder setUseEnhanced(boolean value) {
useEnhanced_ = value;
onChanged();
return this;
}
/**
*
*
*
* *Optional* Set to true to use an enhanced model for speech recognition.
* If `use_enhanced` is set to true and the `model` field is not set, then
* an appropriate enhanced model is chosen if:
* 1. project is eligible for requesting enhanced models
* 2. an enhanced model exists for the audio
* If `use_enhanced` is true and an enhanced version of the specified model
* does not exist, then the speech is recognized using the standard version
* of the specified model.
* Enhanced speech models require that you opt-in to data logging using
* instructions in the
* [documentation](/speech-to-text/docs/enable-data-logging). If you set
* `use_enhanced` to true and you have not enabled audio logging, then you
* will receive an error.
*
*
* bool use_enhanced = 14;
*/
public Builder clearUseEnhanced() {
useEnhanced_ = false;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:google.cloud.speech.v1p1beta1.RecognitionConfig)
}
// @@protoc_insertion_point(class_scope:google.cloud.speech.v1p1beta1.RecognitionConfig)
private static final com.google.cloud.speech.v1p1beta1.RecognitionConfig DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.speech.v1p1beta1.RecognitionConfig();
}
public static com.google.cloud.speech.v1p1beta1.RecognitionConfig getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public RecognitionConfig parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new RecognitionConfig(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public com.google.cloud.speech.v1p1beta1.RecognitionConfig getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}