pysptk.sptk.agcep¶
-
pysptk.sptk.agcep(x, c, stage=1, lambda_coef=0.98, step=0.1, tau=0.9, eps=1e-06)¶ Adaptive generalized cepstral analysis
Parameters: - x : float
A input sample
- c : array, shape(
order + 1), optional Cepstrum. The result is stored in-place.
- stage : int, optional
-1 / gamma. Default is 1.
- 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.
- eps : float, optional
Minimum value for epsilon. Default is 1.0e-6.
Returns: - prederr : float
Prediction error
Raises: - ValueError
if invalid number of stage is specified
See also