Speaker identification by combining MFCC and phase information in noisy environments

Author

Wang, Longbiao ; Minami, Kazue ; Yamamoto, Kazumasa ; Nakagawa, Seiichi

Author_Institution

Dept. of Syst. Eng., Shizuoka Univ., Shizuoka, Japan

fYear

2010

fDate

14-19 March 2010

Firstpage

4502

Lastpage

4505

Abstract

In conventional speaker recognition methods based on MFCC, the phase information has been ignored. Recently, we proposed a method that integrated MFCC with the phase information on a speaker recognition method. Using the phase information, the speaker identification error rate was reduced by 78% for clean speech. In this paper, we describe the effectiveness of phase information for noisy environments on speaker identification. Integrationg MFCC with phase information, the speaker error identification rates were reduced by 20% ~70% in comparison with using only MFCC in noisy environments.

Keywords

speaker recognition; mel-frequency cepstral coefficients; noisy environments; phase information; speaker identification; Cepstral analysis; Data mining; Humans; Linear predictive coding; Mel frequency cepstral coefficient; Phase noise; Speaker recognition; Speech analysis; Speech recognition; Working environment noise; GMM; MFCC; noisy environment; phase information; speaker identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Conference_Location

Dallas, TX

ISSN

1520-6149

Print_ISBN

978-1-4244-4295-9

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2010.5495586

Filename

5495586