final case class WPE_ReverbFrame(in: D, psd: D, bins: I, delay: I = 3, taps: I = 10, alpha: D = 0.9999) extends MultiOut[Double] with Product with Serializable
A UGen implementation of a single frame Weighted Prediction Error (WPE) de-reverberation algorithm in the frequency domain. It takes a DFT'ed input signal frame by frame and returns the estimated reverberated components. To actually obtain the de-reverberated signal, subtract the output from the input signal, then perform inverse FFT and overlap-add reconstruction.
The algorithm closely follows the Python package described in L. Drude, J. Heymann, Ch. Boeddeker, R. Haeb-Umbach, 'NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing' and its Numpy implementation (MIT licensed).
Note: this does not yet work correctly with multi-channel input.
- in
the sequence of complex FFT'ed frames. Should have been obtained through
Real1FFTwithmode = 1.- psd
the power spectrum density estimation, frame by frame corresponding with
in. It should correspond with the shape ofin, however being monophonic instead of multi-channel and using real instead of complex numbers (half the signal window length).- bins
the number of frequency bins (should be
fftSize / 2 + 1)- delay
the delay in spectral frames to avoid suppression of early reflections
- taps
the filter size in spectral frames to capture the late reverberation
- alpha
the decay factor for the filter coefficients
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- new WPE_ReverbFrame(in: D, psd: D, bins: I, delay: I = 3, taps: I = 10, alpha: D = 0.9999)
- in
the sequence of complex FFT'ed frames. Should have been obtained through
Real1FFTwithmode = 1.- psd
the power spectrum density estimation, frame by frame corresponding with
in. It should correspond with the shape ofin, however being monophonic instead of multi-channel and using real instead of complex numbers (half the signal window length).- bins
the number of frequency bins (should be
fftSize / 2 + 1)- delay
the delay in spectral frames to avoid suppression of early reflections
- taps
the filter size in spectral frames to capture the late reverberation
- alpha
the decay factor for the filter coefficients
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- val alpha: D
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- val bins: I
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- def makeUGens(implicit b: Builder): UGenInLike[Double]
Abstract method which must be implemented by creating the actual
UGens during expansion.Abstract method which must be implemented by creating the actual
UGens during expansion. This method is at most called once during graph expansion- returns
the expanded object (depending on the type parameter
U)
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- val psd: D
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- val taps: I
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