void MFCC::process(const MatrixXR& spectrum, MatrixXR* mfccCoeffs){
(*mfccCoeffs).resize(spectrum.rows(), _coefficientCount);
for ( int i = 0; i < spectrum.rows(); i++) {
LOUDIA_DEBUG("MFCC: Processing Melbands");
// Process the mel bands on the power of the spectrum
_melbands.process(spectrum.row(i).array().square(), &_bands);
LOUDIA_DEBUG("MFCC: Processing Log of bands");
// Apply a power to the log mel amplitudes as in: http://en.wikipedia.org/wiki/Mel_frequency_cepstral_coefficient
// V. Tyagi and C. Wellekens
// On desensitizing the Mel-Cepstrum to spurious spectral components for Robust Speech Recognition
// in Acoustics, Speech, and Signal Processing, 2005. Proceedings.
// IEEE International Conference on, vol. 1, 2005, pp. 529–532.
_bands = (_bands.array() + _minSpectrum).log() / log(10.0);
_bands = _bands.array().pow(_power);
LOUDIA_DEBUG("MFCC: Processing DCT");
// Process the DCT
_dct.process(_bands, &_coeffs);
(*mfccCoeffs).row(i) = _coeffs;
}
LOUDIA_DEBUG("MFCC: Finished Processing");
}
void SpectralNoiseSuppression::process(const MatrixXR& spectrum, MatrixXR* noise, MatrixXR* result){
const int rows = spectrum.rows();
const int cols = spectrum.cols();
(*result).resize(rows, cols);
(*result) = spectrum;
//DEBUG("SPECTRALNOISESUPPRESSION: Calculate wrapped magnitude.");
// Calculate the wrapped magnitude of the spectrum
_g = (1.0 / (_k1 - _k0 + 1.0) * spectrum.block(0, _k0, rows, _k1 - _k0).cwise().pow(1.0/3.0).rowwise().sum()).cwise().cube();
//cout << (_g) << endl;
for ( int i = 0; i < cols; i++ ) {
(*result).col(i) = (((*result).col(i).cwise() * _g.cwise().inverse()).cwise() + 1.0).cwise().log();
}
//cout << (*result) << endl;
//DEBUG("SPECTRALNOISESUPPRESSION: Estimate spectral noise.");
// Estimate spectral noise
_bands.process((*result), noise);
//DEBUG("SPECTRALNOISESUPPRESSION: Suppress spectral noise.");
// Suppress spectral noise
(*result) = ((*result) - (*noise)).cwise().clipUnder();
}
void Window::setWindow( const MatrixXR& window, bool callSetup ){
if (window.cols() != _inputSize || window.rows() != 1) {
// Throw exception wrong window size
}
setWindowType(CUSTOM, false);
_window = window;
if ( callSetup ) setup();
}
Real PitchSaliency::saliency(Real period, Real deltaPeriod, Real tLow, Real tUp, const MatrixXR& spectrum){
const int cols = spectrum.cols();
Real sum = 0.0;
for ( int m = 1; m < _numHarmonics; m++ ) {
int begin = (int)round(m * _fftSize / (period + (deltaPeriod / 2.0)));
int end = min((int)round(m * _fftSize / (period - (deltaPeriod / 2.0))), cols - 1);
if (begin < end) sum += harmonicWeight(period, tLow, tUp, m) * spectrum.block(0, begin, 1, end - begin).maxCoeff();
}
return sum;
}
void PitchSaliency::process(const MatrixXR& spectrum, MatrixXR* pitches, MatrixXR* saliencies){
const int rows = spectrum.rows();
(*pitches).resize( rows, 1 );
(*saliencies).resize( rows, 1 );
for ( int row = 0; row < rows; row++ ) {
Real tLow = _tMin;
Real tUp = _tMax;
Real sal;
Real tLowBest = tLow;
Real tUpBest = tUp;
Real salBest;
Real period;
Real deltaPeriod;
while ( ( tUp - tLow ) > _tPrec ) {
// Split the best block and compute new limits
tLow = (tLowBest + tUpBest) / 2.0;
tUp = tUpBest;
tUpBest = tLow;
// Compute new saliences for the new blocks
period = (tLowBest + tUpBest) / 2.0;
deltaPeriod = tUpBest - tLowBest;
salBest = saliency(period, deltaPeriod, tLowBest, tUpBest, spectrum.row( row ));
period = (tLow + tUp) / 2.0;
deltaPeriod = tUp - tLow;
sal = saliency(period, deltaPeriod, tLow, tUp, spectrum.row( row ));
if (sal > salBest) {
tLowBest = tLow;
tUpBest = tUp;
salBest = sal;
}
}
period = (tLowBest + tUpBest) / 2.0;
deltaPeriod = tUpBest - tLowBest;
(*pitches)(row, 0) = _sampleRate / period;
(*saliencies)(row, 0) = saliency(period, deltaPeriod, tLowBest, tUpBest, spectrum.row( row ));
}
}
void PeakCOG::process(const MatrixXC& fft, const MatrixXR& peakPos, MatrixXR* peakCog) {
LOUDIA_DEBUG("PEAKCOG: Processing windowed");
const int rows = fft.rows();
const int cols = fft.cols();
const int halfCols = min((int)ceil(_fftLength / 2.0), cols);
const int peakCount = peakPos.cols();
LOUDIA_DEBUG("PEAKCOG: fft.shape " << fft.rows() << "," << fft.cols());
_spectrumAbs2 = fft.block(0, 0, rows, halfCols).cwise().abs2();
LOUDIA_DEBUG("PEAKCOG: Spectrum resized rows: " << rows << " halfCols: " << halfCols);
unwrap(fft.block(0, 0, rows, halfCols).cwise().angle(), &_spectrumArg);
derivate(_spectrumArg, &_spectrumArgDeriv);
(*peakCog).resize(rows, peakCount);
(*peakCog).setZero();
for(int row = 0; row < rows; row++) {
for(int i = 0; i < peakCount; i++){
if (peakPos(row, i) != -1) {
int start = max(0, (int)floor(peakPos(row, i) - _bandwidth / 2));
int end = min(halfCols, (int)ceil(peakPos(row, i) + _bandwidth / 2));
if ( (end - start) > 0) {
(*peakCog)(row, i) = ((-_spectrumArgDeriv).block(row, start, 1, end-start).cwise() * _spectrumAbs2.block(row, start, 1, end-start)).sum() / _spectrumAbs2.block(row, start, 1, end-start).sum();
}
}
}
}
LOUDIA_DEBUG("PEAKCOG: Finished Processing");
}
void SpectralODFPhase::phaseDeviation(const MatrixXC& spectrum, const MatrixXR& spectrumArg, MatrixXR* odfValue) {
const int rows = spectrum.rows();
const int cols = spectrum.cols();
_phaseDiff = spectrumArg.block(1, 0, rows - 1, cols) - spectrumArg.block(0, 0, rows - 1, cols);
_instFreq = _phaseDiff.block(1, 0, rows - 2, cols) - _phaseDiff.block(0, 0, rows - 2, cols);
if (_weighted)
_instFreq.array() *= spectrum.block(2, 0, rows - 2, cols).array().abs();
if (_normalize) {
(*odfValue) = _instFreq.rowwise().sum().array() / (cols * spectrum.block(2, 0, rows - 2, cols).array().abs().rowwise().sum());
return;
}
(*odfValue) = _instFreq.rowwise().sum() / cols;
return;
}
void VoiceActivityDetection::process(const MatrixXR& frames, MatrixXR* vad){
const int rows = frames.rows();
vad->resize(rows, 1);
for (int i=0; i < rows; i++){
// compute barkbands
_barkBands.process(frames.row(0), &_bands);
// copy frame into memory
_memory.row(_currentMemoryPos) = _bands.row(0);
_currentMemoryPos = (_currentMemoryPos + 1) % _memorySize;
// compute the VAD
RowXR LTSE = _memory.colwise().maxCoeff();
RowXR noise = _memory.colwise().sum() / _memorySize;
(*vad)(i,0) = log10((LTSE.array().square() / noise.array().square()).sum());
}
}
void BandFilter::setup(){
LOUDIA_DEBUG("BANDFILTER: Setting up...");
_filter.setChannelCount( _channelCount, false );
LOUDIA_DEBUG("BANDFILTER: Getting zpk");
// Get the lowpass z, p, k
MatrixXC zeros, poles;
Real gain;
switch( _filterType ){
case CHEBYSHEVI:
chebyshev1(_order, _passRipple, _channelCount, &zeros, &poles, &gain);
break;
case CHEBYSHEVII:
chebyshev2(_order, _stopAttenuation, _channelCount, &zeros, &poles, &gain);
break;
case BUTTERWORTH:
butterworth(_order, _channelCount, &zeros, &poles, &gain);
break;
case BESSEL:
bessel(_order, _channelCount, &zeros, &poles, &gain);
break;
}
LOUDIA_DEBUG("BANDFILTER: zeros:" << zeros );
LOUDIA_DEBUG("BANDFILTER: poles:" << poles );
LOUDIA_DEBUG("BANDFILTER: gain:" << gain );
// Convert zpk to ab coeffs
MatrixXC a;
MatrixXC b;
zpkToCoeffs(zeros, poles, gain, &b, &a);
LOUDIA_DEBUG("BANDFILTER: Calculated the coeffs");
// Since we cannot create matrices of Nx0
// we have created at least one Zero in 0
if ( zeros == MatrixXC::Zero(zeros.rows(), zeros.cols()) ){
// Now we must remove the last coefficient from b
MatrixXC temp = b.block(0, 0, b.rows(), b.cols()-1);
b = temp;
}
// Get the warped critical frequency
Real fs = 2.0;
Real warped = 2.0 * fs * tan( M_PI * _lowFrequency / fs );
Real warpedStop = 2.0 * fs * tan( M_PI * _highFrequency / fs );
Real warpedCenter = sqrt(warped * warpedStop);
Real warpedBandwidth = warpedStop - warped;
// Warpped coeffs
MatrixXC wa;
MatrixXC wb;
LOUDIA_DEBUG("BANDFILTER: Create the band type filter from the analog prototype");
switch( _bandType ){
case LOWPASS:
lowPassToLowPass(b, a, warped, &wb, &wa);
break;
case HIGHPASS:
lowPassToHighPass(b, a, warped, &wb, &wa);
break;
case BANDPASS:
lowPassToBandPass(b, a, warpedCenter, warpedBandwidth, &wb, &wa);
break;
case BANDSTOP:
lowPassToBandStop(b, a, warpedCenter, warpedBandwidth, &wb, &wa);
break;
}
LOUDIA_DEBUG("BANDFILTER: Calculated the low pass to band pass");
// Digital coeffs
MatrixXR da;
MatrixXR db;
bilinear(wb, wa, fs, &db, &da);
LOUDIA_DEBUG("BANDFILTER: setup the coeffs");
// Set the coefficients to the filter
_filter.setA( da.transpose() );
_filter.setB( db.transpose() );
_filter.setup();
LOUDIA_DEBUG("BANDFILTER: Finished set up...");
}
void SpectralReassignment::setup(){
LOUDIA_DEBUG("SPECTRALREASSIGNMENT: Setting up...");
// Setup the window so it gets calculated and can be reused
_windowAlgo.setup();
// Create the time vector
LOUDIA_DEBUG("SPECTRALREASSIGNMENT: Creating time vector...");
Real timestep = 1.0 / _sampleRate;
// The unit of the vectors is Time Sample fractions
// So the difference between one coeff and the next is 1
// and the center of the window must be 0, so even sized windows
// will have the two center coeffs to -0.5 and 0.5
// This should be a line going from [-(window_size - 1)/2 ... (window_size - 1)/2]
_time.resize(_frameSize, 1);
for(int i = 0; i < _time.rows(); i++){
_time(i, 0) = (i - Real(_time.rows() - 1)/2.0);
}
// Create the freq vector
LOUDIA_DEBUG("SPECTRALREASSIGNMENT: Creating freq vector...");
// The unit of the vectors is Frequency Bin fractions
// TODO: Must rethink how the frequency vector is initialized
// as we did for the time vector
_freq.resize(1, _fftSize);
range(0, _fftSize, _fftSize, &_freq);
// Calculate and set the time weighted window
LOUDIA_DEBUG("SPECTRALREASSIGNMENT: Calculate time weighted window...");
MatrixXR windowInteg = _windowAlgo.window();
windowInteg = windowInteg.cwise() * _time.transpose();
_windowIntegAlgo.setWindow(windowInteg);
// Calculate and set the time derivated window
LOUDIA_DEBUG("SPECTRALREASSIGNMENT: Calculate time derivative window...");
MatrixXR windowDeriv = _windowAlgo.window();
for(int i = windowDeriv.cols() - 1; i > 0; i--){
windowDeriv(0, i) = (windowDeriv(0, i) - windowDeriv(0, i - 1)) / timestep;
}
// TODO: Check what is the initial condition for the window
// Should this be 0 or just the value it was originally * dt
//windowDeriv(0, 0) = 0.0;
_windowDerivAlgo.setWindow(windowDeriv);
// Create the necessary buffers for the windowing
_window.resize(1, _frameSize);
_windowInteg.resize(1, _frameSize);
_windowDeriv.resize(1, _frameSize);
// Create the necessary buffers for the FFT
_fftAbs2.resize(1, _fftSize);
_fftInteg.resize(1, _fftSize);
_fftDeriv.resize(1, _fftSize);
// Setup the algos
_windowIntegAlgo.setup();
_windowDerivAlgo.setup();
_fftAlgo.setup();
LOUDIA_DEBUG("SPECTRALREASSIGNMENT: Finished set up...");
}
void PeakInterpolationComplex::process(const MatrixXC& input,
const MatrixXR& peakPositions, const MatrixXR& peakMagnitudes, const MatrixXR& peakPhases,
MatrixXR* peakPositionsInterp, MatrixXR* peakMagnitudesInterp, MatrixXR* peakPhasesInterp) {
LOUDIA_DEBUG("PEAKINTERPOLATIONCOMPLEX: Processing");
Real leftMag, leftPhase;
Real rightMag, rightPhase;
Real mag, interpFactor;
(*peakPositionsInterp).resize(input.rows(), peakPositions.cols());
(*peakMagnitudesInterp).resize(input.rows(), peakPositions.cols());
(*peakPhasesInterp).resize(input.rows(), peakPositions.cols());
_magnitudes = input.cwise().abs();
unwrap(input.cwise().angle(), &_phases);
for ( int row = 0 ; row < _magnitudes.rows(); row++ ) {
for ( int i = 0; i < peakPositions.cols(); i++ ) {
// If the position is -1 do nothing since it means it is nothing
if( peakPositions(row, i) == -1 ){
(*peakMagnitudesInterp)(row, i) = peakMagnitudes(row, i);
(*peakPhasesInterp)(row, i) = peakPhases(row, i);
(*peakPositionsInterp)(row, i) = peakPositions(row, i);
} else {
// Take the center magnitude in dB
mag = 20.0 * log10( peakMagnitudes(row, i) );
// Take the left magnitude in dB
if( peakPositions(row, i) <= 0 ){
leftMag = 20.0 * log10( _magnitudes(row, (int)peakPositions(row, i) + 1) );
} else {
leftMag = 20.0 * log10( _magnitudes(row, (int)peakPositions(row, i) - 1) );
}
// Take the right magnitude in dB
if( peakPositions(row, i) >= _magnitudes.row(row).cols() - 1 ){
rightMag = 20.0 * log10( _magnitudes(row, (int)peakPositions(row, i) - 1) );
} else {
rightMag = 20.0 * log10( _magnitudes(row, (int)peakPositions(row, i) + 1) );
}
// Calculate the interpolated position
(*peakPositionsInterp)(row, i) = peakPositions(row, i) + 0.5 * (leftMag - rightMag) / (leftMag - 2.0 * mag + rightMag);
interpFactor = ((*peakPositionsInterp)(row, i) - peakPositions(row, i));
// Calculate the interpolated magnitude in dB
(*peakMagnitudesInterp)(row, i) = mag - 0.25 * (leftMag - rightMag) * interpFactor;
// Calculate the interpolated phase
leftPhase = _phases(row, (int)floor((*peakPositionsInterp)(row, i)));
rightPhase = _phases(row, (int)floor((*peakPositionsInterp)(row, i)) + 1);
interpFactor = (interpFactor >= 0) ? interpFactor : interpFactor + 1;
(*peakPhasesInterp)(row, i) = (leftPhase + interpFactor * (rightPhase - leftPhase));
}
}
}
// Calculate the princarg() of the phase: remap to (-pi pi]
(*peakPhasesInterp) = ((*peakPhasesInterp).cwise() != -1).select(((*peakPhasesInterp).cwise() + M_PI).cwise().modN(-2.0 * M_PI).cwise() + M_PI, (*peakPhasesInterp));
LOUDIA_DEBUG("PEAKINTERPOLATIONCOMPLEX: Finished Processing");
}
