public NoiseVocoder(
IBGCStream stream,
double freqLowerBound = 20.0,
double freqUpperBound = 16000.0,
int bandCount = 22,
int fftSize = 4096,
int overlapRatio = 4,
TransformRMSBehavior rmsBehavior = TransformRMSBehavior.Passthrough,
Random randomizer = null)
: base(stream)
{
if (stream.Channels != 1)
{
throw new StreamCompositionException(
$"Noise Vocoder requires a mono input stream. Input stream has {stream.Channels} channels.");
}
this.fftSize = fftSize;
this.overlapRatio = overlapRatio;
stepSize = fftSize / overlapRatio;
overlapSize = fftSize - stepSize;
inputBuffer = new float[fftSize];
noiseBuffer = new double[fftSize];
outputAccumulation = new double[fftSize];
cachedSampleBuffer = new float[stepSize];
noiseFFTBuffer = new Complex64[fftSize];
signalFFTBuffer = new Complex64[fftSize];
amplitudeBuffers = new Complex64[bandCount][];
noiseBandBuffers = new Complex64[bandCount][];
for (int i = 0; i < bandCount; i++)
{
amplitudeBuffers[i] = new Complex64[fftSize];
noiseBandBuffers[i] = new Complex64[fftSize];
}
initialized = false;
noiseScalarA = Math.Sqrt(1.0 / 3.0);
noiseScalarB = 2.0 * noiseScalarA;
double[] windowTemplate = Windowing.GetHalfWindow64(Windowing.Function.BlackmanHarris, fftSize / 2);
window = new double[fftSize];
for (int i = 0; i < fftSize / 2; i++)
{
window[i] = windowTemplate[i];
window[fftSize - i - 1] = windowTemplate[i];
}
this.randomizer = randomizer ?? new Random(CustomRandom.Next());
this.rmsBehavior = rmsBehavior;
bandFrequencies = GetExponentialDistribution(freqLowerBound, freqUpperBound, bandCount).ToArray();
outputFactor = 0.5 * Math.Sqrt(fftSize) / overlapRatio;
}
public AnalyticStreamWindower(
IAnalyticStream stream,
Windowing.Function function,
double totalDuration = double.NaN,
int smoothingSamples = 1000,
int sampleOffset = 0,
TransformRMSBehavior rmsBehavior = TransformRMSBehavior.Passthrough)
: base(stream)
{
if (sampleOffset > stream.Samples)
{
Debug.LogError("Requested a sampleOffset larger than clip length");
sampleOffset = 0;
}
this.sampleOffset = sampleOffset;
if (!double.IsNaN(totalDuration))
{
Samples = Math.Min(
(int)(totalDuration * SamplingRate),
stream.Samples - sampleOffset);
}
else
{
Samples = stream.Samples - sampleOffset;
}
this.rmsBehavior = rmsBehavior;
smoothingSamples = Math.Min(smoothingSamples, Samples / 2);
window = Windowing.GetHalfWindow64(function, smoothingSamples);
endOpeningWindow = smoothingSamples;
startClosingWindow = Samples - smoothingSamples;
Reset();
}
public Vocoder(
IBGCStream stream,
IBGCStream carrierStream,
double freqLowerBound = 50.0,
double freqUpperBound = 16000.0,
int bandCount = 22,
int fftSize = 4096,
int overlapRatio = 4,
TransformRMSBehavior rmsBehavior = TransformRMSBehavior.Passthrough)
: base(stream)
{
if (stream.Channels != 1)
{
throw new StreamCompositionException(
$"Vocoder requires a mono input stream. Input stream has {stream.Channels} channels.");
}
if (carrierStream.Channels != 1)
{
throw new StreamCompositionException(
$"Vocoder requires a mono carrier stream. Carrier stream has {carrierStream.Channels} channels.");
}
if (stream.SamplingRate != carrierStream.SamplingRate)
{
throw new StreamCompositionException(
$"Vocoder requires the sampling rate of the stream and carrierStream to match. {stream.SamplingRate} vs {carrierStream.SamplingRate}.");
}
this.carrierStream = carrierStream;
this.fftSize = fftSize;
this.overlapRatio = overlapRatio;
stepSize = fftSize / overlapRatio;
overlapSize = fftSize - stepSize;
inputBuffer = new float[fftSize];
carrierBuffer = new float[fftSize];
outputAccumulation = new double[fftSize];
cachedSampleBuffer = new float[stepSize];
carrierFFTBuffer = new Complex64[fftSize];
signalFFTBuffer = new Complex64[fftSize];
amplitudeBuffers = new Complex64[bandCount][];
carrierBandBuffers = new Complex64[bandCount][];
for (int i = 0; i < bandCount; i++)
{
amplitudeBuffers[i] = new Complex64[fftSize];
carrierBandBuffers[i] = new Complex64[fftSize];
}
initialized = false;
double[] windowTemplate = Windowing.GetHalfWindow64(Windowing.Function.BlackmanHarris, fftSize / 2);
window = new double[fftSize];
for (int i = 0; i < fftSize / 2; i++)
{
window[i] = windowTemplate[i];
window[fftSize - i - 1] = windowTemplate[i];
}
this.rmsBehavior = rmsBehavior;
bandFrequencies = GetExponentialDistribution(freqLowerBound, freqUpperBound, bandCount).ToArray();
outputFactor = 0.5 * Math.Sqrt(fftSize) / overlapRatio;
}