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. 2014 Mar 21;9(3):e92584. doi: 10.1371/journal.pone.0092584

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).