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Implementations of various audio processors (e.g. multichannel conversion, volume change, ...).
/**
* Copyright (c) 2011, The University of Southampton and the individual contributors.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the name of the University of Southampton nor the names of its
* contributors may be used to endorse or promote products derived from this
* software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
* ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
/**
*
*/
package org.openimaj.audio.analysis;
import org.openimaj.audio.SampleChunk;
import org.openimaj.audio.processor.AudioProcessor;
import edu.emory.mathcs.jtransforms.fft.FloatFFT_1D;
/**
* An implementation of the power cepstrum of an audio signal. The
* power cepstrum of an audio signal is the squared magnitude of the Fourier
* transform of the logarithm of the squared magnitude of the Fourier transform
* of a signal. Yeah, I know.
*
* @author David Dupplaw ([email protected])
* @created 18 Jul 2012
* @version $Author$, $Revision$, $Date$
*/
public class PowerCepstrumTransform extends AudioProcessor
{
/** The last generated cepstrum */
private float[][] lastCepstrum = null;
@Override
public SampleChunk process( final SampleChunk sample ) throws Exception
{
final FourierTransform fft = new FourierTransform();
//
// The squared magnitude of the Fourier transform of the logarithm
// of the squared magnitude of the Fourier transform of a signal...
//
// Working backwards...
// ... the FFT of a signal...
//
fft.process( sample );
final float[][] fftCoeffs = fft.getLastFFT();
// ...the logarithm of the squared magnitude...
final float logMags[][] = new float[fftCoeffs.length][];
for( int c = 0; c < fftCoeffs.length; c++ )
{
logMags[c] = new float[fftCoeffs[c].length/4];
for( int i = 0; i < fftCoeffs[c].length/4; i++ )
{
// Calculate magnitude
final float re = fftCoeffs[c][i*2];
final float im = fftCoeffs[c][i*2+1];
float mag = (float)Math.log(Math.sqrt( re*re + im*im )+1);
// Square
mag *= mag;
// Logarithm
final float logMag = (float)Math.log( mag );
// Store
logMags[c][i] = logMag;
}
}
// ... the Fast Fourier (of the log-squared-mags)
this.lastCepstrum = new float[ logMags.length ][];
final FloatFFT_1D fft2 = new FloatFFT_1D( logMags[0].length/4 );
for( int c = 0; c < logMags.length; c++ )
{
fft2.complexForward( logMags[c] );
this.lastCepstrum[c] = new float[ logMags[c].length/4 ];
// ...the squared magnitude of...
for( int i = 0; i < logMags[c].length/4; i++ )
{
// Calculate magnitude
final float re = logMags[c][i*2];
final float im = logMags[c][i*2+1];
float mag = (float)Math.log(Math.sqrt( re*re + im*im )+1);
// Square
mag *= mag;
this.lastCepstrum[c][i] = mag;
}
}
return sample;
}
/**
* Returns the last generated cepstrum
* @return The last generated cepstrum
*/
public float[][] getLastCepstrum()
{
return this.lastCepstrum;
}
}