YU Yibiao YUAN Dongmei XUE Feng 

(School of Electronic and Information Engineering, Soochow University Suzhou 215021) 

Received Jun. 7, 2008

Revised Jun. 19, 2008  

Abstract Based on analyzing contribution of short-time spectrum in different frequency subbands to speaker recognition and using of polynomial curve matching techniques, a non-linear frequency transform and feature detection algorithm are proposed to highlight the speader,s individuality in short-time spectrum of speech. The experimental results show that the performance of speaker recognition system is improved effectively, the average error rate of recognition relatively falls about 70.5%, 60.8%, and 70.5% in comparison with classical frequency transform of Mel, Bark and ERB(Equivalent Rectangular Bandwidth) respectively.

PACS numbers: 43.60, 43.70