pysptk.sptk.acep¶
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pysptk.sptk.
acep
(x, c, lambda_coef=0.98, step=0.1, tau=0.9, pd=4, eps=1e-06)[source]¶ Adaptive cepstral analysis
Parameters: - x : double
A input sample
- c : array, shape(
order + 1
) Cepstrum. The result is stored in place.
- lambda_coef : float, optional
Leakage factor. Default is 0.98.
- step : float, optional
Step size. Default is 0.1.
- tau : float, optional
Momentum constant. Default is 0.9.
- pd : int, optional
Order of pade approximation. Default is 4.
- eps : float, optional
Minimum value for epsilon. Default is 1.0e-6.
Returns: - prederr : float
Prediction error
Raises: - ValueError
if invalid order of pade approximation is specified