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PROTO library for proto-google-cloud-speech-v1
/*
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/speech/v1/cloud_speech.proto
// Protobuf Java Version: 3.25.3
package com.google.cloud.speech.v1;
/**
*
*
*
* Provides "hints" to the speech recognizer to favor specific words and phrases
* in the results.
*
*
* Protobuf type {@code google.cloud.speech.v1.SpeechContext}
*/
public final class SpeechContext extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.speech.v1.SpeechContext)
SpeechContextOrBuilder {
private static final long serialVersionUID = 0L;
// Use SpeechContext.newBuilder() to construct.
private SpeechContext(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private SpeechContext() {
phrases_ = com.google.protobuf.LazyStringArrayList.emptyList();
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new SpeechContext();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.speech.v1.SpeechProto
.internal_static_google_cloud_speech_v1_SpeechContext_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.speech.v1.SpeechProto
.internal_static_google_cloud_speech_v1_SpeechContext_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.speech.v1.SpeechContext.class,
com.google.cloud.speech.v1.SpeechContext.Builder.class);
}
public static final int PHRASES_FIELD_NUMBER = 1;
@SuppressWarnings("serial")
private com.google.protobuf.LazyStringArrayList phrases_ =
com.google.protobuf.LazyStringArrayList.emptyList();
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @return A list containing the phrases.
*/
public com.google.protobuf.ProtocolStringList getPhrasesList() {
return phrases_;
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @return The count of phrases.
*/
public int getPhrasesCount() {
return phrases_.size();
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @param index The index of the element to return.
* @return The phrases at the given index.
*/
public java.lang.String getPhrases(int index) {
return phrases_.get(index);
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @param index The index of the value to return.
* @return The bytes of the phrases at the given index.
*/
public com.google.protobuf.ByteString getPhrasesBytes(int index) {
return phrases_.getByteString(index);
}
public static final int BOOST_FIELD_NUMBER = 4;
private float boost_ = 0F;
/**
*
*
*
* Hint Boost. Positive value will increase the probability that a specific
* phrase will be recognized over other similar sounding phrases. The higher
* the boost, the higher the chance of false positive recognition as well.
* Negative boost values would correspond to anti-biasing. Anti-biasing is not
* enabled, so negative boost will simply be ignored. Though `boost` can
* accept a wide range of positive values, most use cases are best served with
* values between 0 and 20. We recommend using a binary search approach to
* finding the optimal value for your use case.
*
*
* float boost = 4;
*
* @return The boost.
*/
@java.lang.Override
public float getBoost() {
return boost_;
}
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 {
for (int i = 0; i < phrases_.size(); i++) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 1, phrases_.getRaw(i));
}
if (java.lang.Float.floatToRawIntBits(boost_) != 0) {
output.writeFloat(4, boost_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
{
int dataSize = 0;
for (int i = 0; i < phrases_.size(); i++) {
dataSize += computeStringSizeNoTag(phrases_.getRaw(i));
}
size += dataSize;
size += 1 * getPhrasesList().size();
}
if (java.lang.Float.floatToRawIntBits(boost_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, boost_);
}
size += getUnknownFields().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.v1.SpeechContext)) {
return super.equals(obj);
}
com.google.cloud.speech.v1.SpeechContext other = (com.google.cloud.speech.v1.SpeechContext) obj;
if (!getPhrasesList().equals(other.getPhrasesList())) return false;
if (java.lang.Float.floatToIntBits(getBoost())
!= java.lang.Float.floatToIntBits(other.getBoost())) return false;
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (getPhrasesCount() > 0) {
hash = (37 * hash) + PHRASES_FIELD_NUMBER;
hash = (53 * hash) + getPhrasesList().hashCode();
}
hash = (37 * hash) + BOOST_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(getBoost());
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.speech.v1.SpeechContext parseFrom(java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.speech.v1.SpeechContext 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.v1.SpeechContext parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.speech.v1.SpeechContext 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.v1.SpeechContext parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.speech.v1.SpeechContext parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.speech.v1.SpeechContext parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.speech.v1.SpeechContext 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.v1.SpeechContext parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.speech.v1.SpeechContext 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.v1.SpeechContext parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.speech.v1.SpeechContext 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.v1.SpeechContext 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 "hints" to the speech recognizer to favor specific words and phrases
* in the results.
*
*
* Protobuf type {@code google.cloud.speech.v1.SpeechContext}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.speech.v1.SpeechContext)
com.google.cloud.speech.v1.SpeechContextOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.speech.v1.SpeechProto
.internal_static_google_cloud_speech_v1_SpeechContext_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.speech.v1.SpeechProto
.internal_static_google_cloud_speech_v1_SpeechContext_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.speech.v1.SpeechContext.class,
com.google.cloud.speech.v1.SpeechContext.Builder.class);
}
// Construct using com.google.cloud.speech.v1.SpeechContext.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
phrases_ = com.google.protobuf.LazyStringArrayList.emptyList();
boost_ = 0F;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.speech.v1.SpeechProto
.internal_static_google_cloud_speech_v1_SpeechContext_descriptor;
}
@java.lang.Override
public com.google.cloud.speech.v1.SpeechContext getDefaultInstanceForType() {
return com.google.cloud.speech.v1.SpeechContext.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.speech.v1.SpeechContext build() {
com.google.cloud.speech.v1.SpeechContext result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.speech.v1.SpeechContext buildPartial() {
com.google.cloud.speech.v1.SpeechContext result =
new com.google.cloud.speech.v1.SpeechContext(this);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartial0(com.google.cloud.speech.v1.SpeechContext result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
phrases_.makeImmutable();
result.phrases_ = phrases_;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.boost_ = boost_;
}
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof com.google.cloud.speech.v1.SpeechContext) {
return mergeFrom((com.google.cloud.speech.v1.SpeechContext) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(com.google.cloud.speech.v1.SpeechContext other) {
if (other == com.google.cloud.speech.v1.SpeechContext.getDefaultInstance()) return this;
if (!other.phrases_.isEmpty()) {
if (phrases_.isEmpty()) {
phrases_ = other.phrases_;
bitField0_ |= 0x00000001;
} else {
ensurePhrasesIsMutable();
phrases_.addAll(other.phrases_);
}
onChanged();
}
if (other.getBoost() != 0F) {
setBoost(other.getBoost());
}
this.mergeUnknownFields(other.getUnknownFields());
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 {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 10:
{
java.lang.String s = input.readStringRequireUtf8();
ensurePhrasesIsMutable();
phrases_.add(s);
break;
} // case 10
case 37:
{
boost_ = input.readFloat();
bitField0_ |= 0x00000002;
break;
} // case 37
default:
{
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private int bitField0_;
private com.google.protobuf.LazyStringArrayList phrases_ =
com.google.protobuf.LazyStringArrayList.emptyList();
private void ensurePhrasesIsMutable() {
if (!phrases_.isModifiable()) {
phrases_ = new com.google.protobuf.LazyStringArrayList(phrases_);
}
bitField0_ |= 0x00000001;
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @return A list containing the phrases.
*/
public com.google.protobuf.ProtocolStringList getPhrasesList() {
phrases_.makeImmutable();
return phrases_;
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @return The count of phrases.
*/
public int getPhrasesCount() {
return phrases_.size();
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @param index The index of the element to return.
* @return The phrases at the given index.
*/
public java.lang.String getPhrases(int index) {
return phrases_.get(index);
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @param index The index of the value to return.
* @return The bytes of the phrases at the given index.
*/
public com.google.protobuf.ByteString getPhrasesBytes(int index) {
return phrases_.getByteString(index);
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @param index The index to set the value at.
* @param value The phrases to set.
* @return This builder for chaining.
*/
public Builder setPhrases(int index, java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensurePhrasesIsMutable();
phrases_.set(index, value);
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @param value The phrases to add.
* @return This builder for chaining.
*/
public Builder addPhrases(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensurePhrasesIsMutable();
phrases_.add(value);
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @param values The phrases to add.
* @return This builder for chaining.
*/
public Builder addAllPhrases(java.lang.Iterable values) {
ensurePhrasesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(values, phrases_);
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @return This builder for chaining.
*/
public Builder clearPhrases() {
phrases_ = com.google.protobuf.LazyStringArrayList.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
;
onChanged();
return this;
}
/**
*
*
*
* A list of strings containing words and phrases "hints" so that
* the speech recognition is more likely to recognize them. This can be used
* to improve the accuracy for specific words and phrases, for example, if
* specific commands are typically spoken by the user. This can also be used
* to add additional words to the vocabulary of the recognizer. See
* [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
*
* List items can also be set to classes for groups of words that represent
* common concepts that occur in natural language. For example, rather than
* providing phrase hints for every month of the year, using the $MONTH class
* improves the likelihood of correctly transcribing audio that includes
* months.
*
*
* repeated string phrases = 1;
*
* @param value The bytes of the phrases to add.
* @return This builder for chaining.
*/
public Builder addPhrasesBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
ensurePhrasesIsMutable();
phrases_.add(value);
bitField0_ |= 0x00000001;
onChanged();
return this;
}
private float boost_;
/**
*
*
*
* Hint Boost. Positive value will increase the probability that a specific
* phrase will be recognized over other similar sounding phrases. The higher
* the boost, the higher the chance of false positive recognition as well.
* Negative boost values would correspond to anti-biasing. Anti-biasing is not
* enabled, so negative boost will simply be ignored. Though `boost` can
* accept a wide range of positive values, most use cases are best served with
* values between 0 and 20. We recommend using a binary search approach to
* finding the optimal value for your use case.
*
*
* float boost = 4;
*
* @return The boost.
*/
@java.lang.Override
public float getBoost() {
return boost_;
}
/**
*
*
*
* Hint Boost. Positive value will increase the probability that a specific
* phrase will be recognized over other similar sounding phrases. The higher
* the boost, the higher the chance of false positive recognition as well.
* Negative boost values would correspond to anti-biasing. Anti-biasing is not
* enabled, so negative boost will simply be ignored. Though `boost` can
* accept a wide range of positive values, most use cases are best served with
* values between 0 and 20. We recommend using a binary search approach to
* finding the optimal value for your use case.
*
*
* float boost = 4;
*
* @param value The boost to set.
* @return This builder for chaining.
*/
public Builder setBoost(float value) {
boost_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* Hint Boost. Positive value will increase the probability that a specific
* phrase will be recognized over other similar sounding phrases. The higher
* the boost, the higher the chance of false positive recognition as well.
* Negative boost values would correspond to anti-biasing. Anti-biasing is not
* enabled, so negative boost will simply be ignored. Though `boost` can
* accept a wide range of positive values, most use cases are best served with
* values between 0 and 20. We recommend using a binary search approach to
* finding the optimal value for your use case.
*
*
* float boost = 4;
*
* @return This builder for chaining.
*/
public Builder clearBoost() {
bitField0_ = (bitField0_ & ~0x00000002);
boost_ = 0F;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(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.v1.SpeechContext)
}
// @@protoc_insertion_point(class_scope:google.cloud.speech.v1.SpeechContext)
private static final com.google.cloud.speech.v1.SpeechContext DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.speech.v1.SpeechContext();
}
public static com.google.cloud.speech.v1.SpeechContext getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public SpeechContext parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
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.v1.SpeechContext getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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