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@@ -48,18 +48,23 @@ public:
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GuidedPhaseAdvance(Parameters parameters) :
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m_parameters(parameters),
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m_blockSize(parameters.fftSize / 2 + 1),
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m_peakPicker(m_blockSize),
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m_binCount(parameters.fftSize / 2 + 1),
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m_peakPicker(m_binCount),
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m_reported(false) {
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size_t ch = m_parameters.channels;
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m_currentPeaks = allocate_and_zero_channels<int>(ch, m_blockSize);
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m_prevPeaks = allocate_and_zero_channels<int>(ch, m_blockSize);
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m_greatestChannel = allocate_and_zero<int>(m_blockSize);
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//!!! there is also a prevMag in R3StretcherImpl which could be passed in to here instead
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m_prevInMag = allocate_and_zero_channels<double>(ch, m_blockSize);
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m_prevInPhase = allocate_and_zero_channels<double>(ch, m_blockSize);
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m_prevOutPhase = allocate_and_zero_channels<double>(ch, m_blockSize);
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m_unlocked = allocate_and_zero_channels<double>(ch, m_blockSize);
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m_currentPeaks = allocate_and_zero_channels<int>(ch, m_binCount);
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m_prevPeaks = allocate_and_zero_channels<int>(ch, m_binCount);
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m_greatestChannel = allocate_and_zero<int>(m_binCount);
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m_prevInMag = allocate_and_zero_channels<double>(ch, m_binCount);
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m_prevInPhase = allocate_and_zero_channels<double>(ch, m_binCount);
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m_prevOutPhase = allocate_and_zero_channels<double>(ch, m_binCount);
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m_unlocked = allocate_and_zero_channels<double>(ch, m_binCount);
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for (int c = 0; c < ch; ++c) {
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for (int i = 0; i < m_binCount; ++i) {
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m_prevPeaks[c][i] = i;
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}
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}
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}
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~GuidedPhaseAdvance() {
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@@ -127,27 +132,10 @@ public:
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nullptr);
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}
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m_peakPicker.findNearestAndNextPeaks(m_prevInMag[c],
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lowest, highest - lowest + 1,
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2, m_prevPeaks[c],
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nullptr);
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/*
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static int counter = 0;
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if (c == 0) {
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if (++counter > 140 && counter < 150) {
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std::cout << "Magnitudes and peaks (fftSize = " << m_parameters.fftSize << "):" << std::endl;
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for (int i = 0; i < bs; ++i) {
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if (m_currentPeaks[c][i] == i) {
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std::cout << "*";
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}
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std::cout << mag[c][i] << ", ";
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}
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std::cout << std::endl;
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}
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}
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*/
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// m_peakPicker.findNearestAndNextPeaks(m_prevInMag[c],
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// lowest, highest - lowest + 1,
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// 2, m_prevPeaks[c],
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// nullptr);
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}
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if (channels > 1) {
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@@ -231,19 +219,14 @@ public:
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}
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}
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//!!! NB in the original we use a different value of p for
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//!!! peak-picking the prior magnitudes - this isn't carried
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//!!! over here - it is now but I don't think this was the
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//!!! full cause of our burbling
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// int **tmp = m_prevPeaks;
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// m_prevPeaks = m_currentPeaks;
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// m_currentPeaks = tmp;
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int **tmp = m_prevPeaks;
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m_prevPeaks = m_currentPeaks;
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m_currentPeaks = tmp;
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}
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protected:
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Parameters m_parameters;
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int m_blockSize;
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int m_binCount;
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Peak<double> m_peakPicker;
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int **m_currentPeaks;
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int **m_prevPeaks;
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@@ -415,12 +415,12 @@ R3StretcherImpl::analyseChannel(int c, int inhop, int prevInhop, int prevOuthop)
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cd->inbuf->peek(buf, longest);
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}
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// We have a single unwindowed frame at the longest FFT
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// size ("scale"). Populate the shorter FFT sizes from the
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// centre of it, windowing as we copy. The classification
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// scale is handled separately because it has readahead,
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// so skip it here as well as the longest. (In practice
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// this means we are probably only populating one scale)
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// We have a single unwindowed frame at the longest FFT size
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// ("scale"). Populate the shorter FFT sizes from the centre of
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// it, windowing as we copy. The classification scale is handled
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// separately because it has readahead, so skip it here as well as
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// the longest. (In practice this means we are probably only
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// populating one scale)
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for (auto &it: cd->scales) {
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int fftSize = it.first;
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@@ -539,9 +539,8 @@ R3StretcherImpl::analyseChannel(int c, int inhop, int prevInhop, int prevOuthop)
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}
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}
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// Use the classification scale to get a bin segmentation
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// and calculate the adaptive frequency guide for this
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// channel
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// Use the classification scale to get a bin segmentation and
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// calculate the adaptive frequency guide for this channel
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cd->prevSegmentation = cd->segmentation;
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cd->segmentation = cd->nextSegmentation;
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cd->nextSegmentation = cd->segmenter->segment(readahead.mag.data());
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@@ -595,9 +594,9 @@ R3StretcherImpl::synthesiseChannel(int c, int outhop)
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}
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winscale = double(outhop) / winscale;
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// The frequency filter is applied naively in the
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// frequency domain. Aliasing is reduced by the
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// shorter resynthesis window
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// The frequency filter is applied naively in the frequency
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// domain. Aliasing is reduced by the shorter resynthesis
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// window
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double factor = m_parameters.sampleRate / double(fftSize);
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for (int i = 0; i < fftSize/2 + 1; ++i) {
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@@ -611,9 +610,9 @@ R3StretcherImpl::synthesiseChannel(int c, int outhop)
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}
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}
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// Resynthesise each FFT size (scale) individually, then
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// sum. This is easier to manage scaling for in situations
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// with a varying resynthesis hop
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// Resynthesise each FFT size (scale) individually, then sum. This
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// is easier to manage scaling for in situations with a varying
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// resynthesis hop
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for (auto &it : cd->scales) {
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int fftSize = it.first;
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@@ -641,12 +640,11 @@ R3StretcherImpl::synthesiseChannel(int c, int outhop)
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v_fftshift(scale->timeDomain.data(), fftSize);
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// Synthesis window is shorter than analysis window,
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// so copy and cut only from the middle of the
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// time-domain frame; and the accumulator length
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// always matches the longest FFT size, so as to make
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// mixing straightforward, so there is an additional
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// offset needed for the target
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// Synthesis window may be shorter than analysis window, so
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// copy and cut only from the middle of the time-domain frame;
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// and the accumulator length always matches the longest FFT
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// size, so as to make mixing straightforward, so there is an
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// additional offset needed for the target
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int synthesisWindowSize = scaleData->synthesisWindow.getSize();
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int fromOffset = (fftSize - synthesisWindowSize) / 2;
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