Table 1. Compounded feature set for classification.
feature | dimension | |
Spec | spectrum | 128 |
delta spectrum | 128 | |
Ceps | cepstrum | 128 |
delta cepstrum | 128 | |
AF | duration | 1 |
zero cross | 1 | |
feature set *1 | 9 | |
delta feature set *2 | 9 | |
total | 532 |
*1.derived by non-linear transformations of spectrum and cepstrum: spectral centroid, spectral standard deviation, spectral skewness, spectral kurtosis, spectral entropy, spectral slope, peak quefrency, pitch goodness, and amplitude.
*2.time derivatives of the nine features (*1).