Integration of Complementary Acoustic Features for Speaker Recognition
作者： Nengheng Zheng , Tan Lee , P. C. Ching
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摘要: This letter describes a speaker verification system that uses complementary acoustic features derived from the vocal source excitation and tract system. A new feature set, named wavelet octave coefficients of residues (WOCOR), is proposed to capture spectro-temporal characteristics embedded in linear predictive residual signal. WOCOR used supplement conventional tract-related features, this case, Mel-frequency cepstral (MFCC), for verification. novel confidence measure-based score fusion technique applied integrate MFCC. Speaker experiments are carried out on NIST 2001 database. The equal error rate (EER) attained with method 7.67%, comparison 9.30% MFCC-based
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