pysptk.sptk.agcep¶
- pysptk.sptk.agcep(x, c, stage=1, lambda_coef=0.98, step=0.1, tau=0.9, eps=1e-06)[source]¶
Adaptive generalized cepstral analysis
- Parameters
- xfloat
A input sample
- carray, shape(
order + 1
), optional Cepstrum. The result is stored in-place.
- stageint, optional
-1 / gamma. Default is 1.
- lambda_coeffloat, optional
Leakage factor. Default is 0.98.
- stepfloat, optional
Step size. Default is 0.1.
- taufloat, optional
Momentum constant. Default is 0.9.
- epsfloat, optional
Minimum value for epsilon. Default is 1.0e-6.
- Returns
- prederrfloat
Prediction error
- Raises
- ValueError
if invalid number of stage is specified