Robust speaker identification in the presence of car noise

Authors:
Mangesh S. Deshpande;Raghunath S. Holambe
Affiliations:
Department of Electronics and Telecommunication Engineering, SRES;s College of Engineering, Kopargaon, Maharashtra, India.
Venue:
International Journal of Biometrics
Year:
2011

Citing 11
Cited 1

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Abstract

A robust feature set, Teager Energy Operator based Cepstral Coefficients (TEOCC) for speaker identification task is proposed in this paper. Admissible Wavelet Packet (AWP) transform and the Teager Energy Operator (TEO) is used to obtain robust features. The proposed features significantly improve the speaker identification performance (76.25%) compared with the Mel Frequency Cepstral Coefficient (MFCC) features (57%) in the presence of car noise. The performance is evaluated using TIMIT and NOISEX-92 databases. This paper shows that higher-frequency bands also carry more speaker-specific information and the identification rate can be improved without additional processing of the signal to remove noise.