Sub-band main peak frequency application for speaker identification

Authors:
Limin Hou;Juanmin Xie;Su Xie
Affiliations:
School of Communication and Information Engineering, Shanghai University, Shanghai, China;School of Communication and Information Engineering, Shanghai University, Shanghai, China;School of Communication and Information Engineering, Shanghai University, Shanghai, China
Venue:
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Year:
2011

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Abstract

The paper proposes the sub-band main peak frequencies( SMPF) for speaker identification (SI). The SMPF could be derived from the sub-band first formant frequencies by all-pole model of speech signal. Compared with MFCC features for SI based on a Gaussian mixture model (GMM), only SMPF features for SI is better than only the MFCC, with one of improved relative rate up to 15%. Experimental utterances are Chinese mandarin under clean background recording circumstances.