| Index: Source/modules/webaudio/PeriodicWave.cpp
|
| diff --git a/Source/modules/webaudio/PeriodicWave.cpp b/Source/modules/webaudio/PeriodicWave.cpp
|
| index 5700c3073a9fc1cb375053eddf762367713dc0a6..9fe1903229f831eedbb52ee79014cdc2883558e9 100644
|
| --- a/Source/modules/webaudio/PeriodicWave.cpp
|
| +++ b/Source/modules/webaudio/PeriodicWave.cpp
|
| @@ -37,11 +37,14 @@
|
|
|
| namespace blink {
|
|
|
| -const unsigned PeriodicWaveSize = 4096; // This must be a power of two.
|
| -const unsigned NumberOfRanges = 36; // There should be 3 * log2(PeriodicWaveSize) 1/3 octave ranges.
|
| -const float CentsPerRange = 1200 / 3; // 1/3 Octave.
|
| +// The number of bands per octave. Each octave will have this many entries in the wave tables.
|
| +const unsigned kNumberOfOctaveBands = 3;
|
|
|
| -const unsigned PeriodicWave::kMaxPeriodicWaveArraySize = PeriodicWaveSize / 2;
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| +// The max length of a periodic wave. This must be a power of two greater than or equal to 2048 and
|
| +// must be supported by the FFT routines.
|
| +const unsigned kMaxPeriodicWaveSize = 16384;
|
| +
|
| +const float CentsPerRange = 1200 / kNumberOfOctaveBands;
|
|
|
| using namespace VectorMath;
|
|
|
| @@ -88,13 +91,36 @@ PeriodicWave* PeriodicWave::createTriangle(float sampleRate)
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|
|
| PeriodicWave::PeriodicWave(float sampleRate)
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| : m_sampleRate(sampleRate)
|
| - , m_periodicWaveSize(PeriodicWaveSize)
|
| - , m_numberOfRanges(NumberOfRanges)
|
| , m_centsPerRange(CentsPerRange)
|
| {
|
| float nyquist = 0.5 * m_sampleRate;
|
| m_lowestFundamentalFrequency = nyquist / maxNumberOfPartials();
|
| - m_rateScale = m_periodicWaveSize / m_sampleRate;
|
| + m_rateScale = periodicWaveSize() / m_sampleRate;
|
| + // Compute the number of ranges needed to cover the entire frequency range, assuming
|
| + // kNumberOfOctaveBands per octave.
|
| + m_numberOfRanges = 0.5 + kNumberOfOctaveBands * log2f(periodicWaveSize());
|
| +}
|
| +
|
| +unsigned PeriodicWave::periodicWaveSize() const
|
| +{
|
| + // Choose an appropriate wave size for the given sample rate. This allows us to use shorter
|
| + // FFTs when possible to limit the complexity. The breakpoints here are somewhat arbitrary, but
|
| + // we want sample rates around 44.1 kHz or so to have a size of 4096 to preserve backward
|
| + // compatibility.
|
| + if (m_sampleRate <= 24000) {
|
| + return 2048;
|
| + }
|
| +
|
| + if (m_sampleRate <= 88200) {
|
| + return 4096;
|
| + }
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| +
|
| + return kMaxPeriodicWaveSize;
|
| +}
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| +
|
| +unsigned PeriodicWave::maxNumberOfPartials() const
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| +{
|
| + return periodicWaveSize() / 2;
|
| }
|
|
|
| void PeriodicWave::waveDataForFundamentalFrequency(float fundamentalFrequency, float*& lowerWaveData, float*& higherWaveData, float& tableInterpolationFactor)
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| @@ -110,13 +136,13 @@ void PeriodicWave::waveDataForFundamentalFrequency(float fundamentalFrequency, f
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| float pitchRange = 1 + centsAboveLowestFrequency / m_centsPerRange;
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|
|
| pitchRange = std::max(pitchRange, 0.0f);
|
| - pitchRange = std::min(pitchRange, static_cast<float>(m_numberOfRanges - 1));
|
| + pitchRange = std::min(pitchRange, static_cast<float>(numberOfRanges() - 1));
|
|
|
| // The words "lower" and "higher" refer to the table data having the lower and higher numbers of partials.
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| // It's a little confusing since the range index gets larger the more partials we cull out.
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| // So the lower table data will have a larger range index.
|
| unsigned rangeIndex1 = static_cast<unsigned>(pitchRange);
|
| - unsigned rangeIndex2 = rangeIndex1 < m_numberOfRanges - 1 ? rangeIndex1 + 1 : rangeIndex1;
|
| + unsigned rangeIndex2 = rangeIndex1 < numberOfRanges() - 1 ? rangeIndex1 + 1 : rangeIndex1;
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|
|
| lowerWaveData = m_bandLimitedTables[rangeIndex2]->data();
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| higherWaveData = m_bandLimitedTables[rangeIndex1]->data();
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| @@ -125,11 +151,6 @@ void PeriodicWave::waveDataForFundamentalFrequency(float fundamentalFrequency, f
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| tableInterpolationFactor = pitchRange - rangeIndex1;
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| }
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|
|
| -unsigned PeriodicWave::maxNumberOfPartials() const
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| -{
|
| - return m_periodicWaveSize / 2;
|
| -}
|
| -
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| unsigned PeriodicWave::numberOfPartialsForRange(unsigned rangeIndex) const
|
| {
|
| // Number of cents below nyquist where we cull partials.
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| @@ -151,53 +172,44 @@ void PeriodicWave::createBandLimitedTables(const float* realData, const float* i
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| {
|
| float normalizationScale = 1;
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|
|
| - unsigned fftSize = m_periodicWaveSize;
|
| + unsigned fftSize = periodicWaveSize();
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| unsigned halfSize = fftSize / 2;
|
| unsigned i;
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|
|
| numberOfComponents = std::min(numberOfComponents, halfSize);
|
|
|
| - m_bandLimitedTables.reserveCapacity(m_numberOfRanges);
|
| + m_bandLimitedTables.reserveCapacity(numberOfRanges());
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|
|
| - for (unsigned rangeIndex = 0; rangeIndex < m_numberOfRanges; ++rangeIndex) {
|
| + for (unsigned rangeIndex = 0; rangeIndex < numberOfRanges(); ++rangeIndex) {
|
| // This FFTFrame is used to cull partials (represented by frequency bins).
|
| FFTFrame frame(fftSize);
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| float* realP = frame.realData();
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| float* imagP = frame.imagData();
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|
|
| - // Copy from loaded frequency data and scale.
|
| - float scale = fftSize;
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| - vsmul(realData, 1, &scale, realP, 1, numberOfComponents);
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| - vsmul(imagData, 1, &scale, imagP, 1, numberOfComponents);
|
| -
|
| - // If fewer components were provided than 1/2 FFT size, then clear the remaining bins.
|
| - for (i = numberOfComponents; i < halfSize; ++i) {
|
| - realP[i] = 0;
|
| - imagP[i] = 0;
|
| - }
|
| -
|
| - // Generate complex conjugate because of the way the inverse FFT is defined.
|
| + // Copy from loaded frequency data and generate the complex conjugate because of the way the
|
| + // inverse FFT is defined versus the values in the arrays. Note also that although the IFFT
|
| + // does a scaling by 1/N, we take care of this when the normalization scaling is done.
|
| float minusOne = -1;
|
| - vsmul(imagP, 1, &minusOne, imagP, 1, halfSize);
|
| + memcpy(realP, realData, numberOfComponents * sizeof(*realP));
|
| + vsmul(imagData, 1, &minusOne, imagP, 1, numberOfComponents);
|
|
|
| - // Find the starting bin where we should start culling.
|
| - // We need to clear out the highest frequencies to band-limit the waveform.
|
| + // Find the starting bin where we should start culling. We need to clear out the highest
|
| + // frequencies to band-limit the waveform.
|
| unsigned numberOfPartials = numberOfPartialsForRange(rangeIndex);
|
|
|
| - // Cull the aliasing partials for this pitch range.
|
| - for (i = numberOfPartials + 1; i < halfSize; ++i) {
|
| + // If fewer components were provided than 1/2 FFT size, then clear the remaining bins.
|
| + // We also need to cull the aliasing partials for this pitch range.
|
| + for (i = std::min(numberOfComponents, numberOfPartials + 1); i < halfSize; ++i) {
|
| realP[i] = 0;
|
| imagP[i] = 0;
|
| }
|
| - // Clear packed-nyquist if necessary.
|
| - if (numberOfPartials < halfSize)
|
| - imagP[0] = 0;
|
|
|
| - // Clear any DC-offset.
|
| + // Clear packed-nyquist and any DC-offset.
|
| realP[0] = 0;
|
| + imagP[0] = 0;
|
|
|
| // Create the band-limited table.
|
| - OwnPtr<AudioFloatArray> table = adoptPtr(new AudioFloatArray(m_periodicWaveSize));
|
| + OwnPtr<AudioFloatArray> table = adoptPtr(new AudioFloatArray(periodicWaveSize()));
|
| m_bandLimitedTables.append(table.release());
|
|
|
| // Apply an inverse FFT to generate the time-domain table data.
|
| @@ -207,14 +219,14 @@ void PeriodicWave::createBandLimitedTables(const float* realData, const float* i
|
| // For the first range (which has the highest power), calculate its peak value then compute normalization scale.
|
| if (!rangeIndex) {
|
| float maxValue;
|
| - vmaxmgv(data, 1, &maxValue, m_periodicWaveSize);
|
| + vmaxmgv(data, 1, &maxValue, fftSize);
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|
|
| if (maxValue)
|
| normalizationScale = 1.0f / maxValue;
|
| }
|
|
|
| // Apply normalization scale.
|
| - vsmul(data, 1, &normalizationScale, data, 1, m_periodicWaveSize);
|
| + vsmul(data, 1, &normalizationScale, data, 1, fftSize);
|
| }
|
| }
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|