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