final case class MelFilter(in: D, size: I, minFreq: D = 55.0, maxFreq: D = 18000.0, sampleRate: D = 44100.0, bands: I = 42) extends SingleOut[Double] with Product with Serializable
A UGen that maps short-time Fourier transformed spectra to the mel scale. To obtain
the MFCC, one has to take the log of the output of this UGen and decimate it with a DCT.
Example:
def mfcc(in: GE) = { val fsz = 1024 val lap = Sliding(in, fsz, fsz/2) * GenWindow(fsz, GenWindow.Hann) val fft = Real1FFT(lap, fsz, mode = 1) val mag = fft.complex.mag.max(-80) val mel = MelFilter(mag, fsz/2, bands = 42) DCT_II(mel.log, 42, 13, zero = 0) }
- in
magnitudes of spectra, as output by
Real1FFT(..., mode = 1).complex.abs- size
bands in input spectrum (assumed to be
fft-size / 2). lowest band corresponds to DC and highest to(size - 1)/size * sampleRate/2.- minFreq
lower frequency to sample. Will be clipped between zero (inclusive) and Nyquist (exclusive).
- maxFreq
upper frequency to sample. Will be clipped between
minFreq(inclusive) and Nyquist (exclusive).- bands
number of filter bands output
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- new MelFilter(in: D, size: I, minFreq: D = 55.0, maxFreq: D = 18000.0, sampleRate: D = 44100.0, bands: I = 42)
- in
magnitudes of spectra, as output by
Real1FFT(..., mode = 1).complex.abs- size
bands in input spectrum (assumed to be
fft-size / 2). lowest band corresponds to DC and highest to(size - 1)/size * sampleRate/2.- minFreq
lower frequency to sample. Will be clipped between zero (inclusive) and Nyquist (exclusive).
- maxFreq
upper frequency to sample. Will be clipped between
minFreq(inclusive) and Nyquist (exclusive).- bands
number of filter bands output
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- def makeUGens(implicit b: Builder): UGenInLike[Double]
Abstract method which must be implemented by creating the actual
UGens during expansion. - val maxFreq: D
- val minFreq: D
- final def name: String
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- val sampleRate: D
- val size: I
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