The amount to interpolate between A and B (0-1, 0 = A, 1 = B)
The amount to interpolate between A and B (0-1, 0 = A, 1 = B)
ARGUMENT:: bandwidth
The width in bins of an ideal sine wave, which is correlated with the spectrum for peak detection. Larger values provide enhanced resolution, at a computational cost.
ARGUMENT:: windowSize
ARGUMENT:: windowSize
The window size in samples. As AudioTransport relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty
The window size in samples. As AudioTransport relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty
The amount to interpolate between A and B (0-1, 0 = A, 1 = B)
The amount to interpolate between A and B (0-1, 0 = A, 1 = B)
ARGUMENT:: bandwidth
The width in bins of an ideal sine wave, which is correlated with the spectrum for peak detection. Larger values provide enhanced resolution, at a computational cost.
ARGUMENT:: windowSize
ARGUMENT:: windowSize
The window size. As spectral differencing relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty
The window size. As spectral differencing relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty
Pierre Alexandre Tremblay
5 years ago