Spectro-temporal features for robust far-field speaker identification
Tiago Henrique Falk, Wai-Yip Chan · 2008
Features derived from an auditory spectro-temporal represen-tation of speech are proposed for robust far-field speaker iden-tification. The auditory representation is obtained by first filtering the speech signal with a gammatone filterbank. A modulation filterbank is then applied to the temporal enve-lope of each gammatone filter output. Compared to com-monly used mel-frequency cepstral coefficients (MFCC), the proposed features are shown to be more robust to mismatched conditions between enrollment and test data and are less sen-sitive to increasing reverberation time (RT). Experiments with simulated and recorded far-field speech show that a Gaus-sian mixture model based identification system, trained on the proposed features, attains an average improvement in identifi-cation accuracy of 15 % relative to a system trained on MFCC. Improvements of up to 85 % are attained for larger RT.