Robust speaker recognition using SNR-aware subspace-based enhancement and probabilistic SVMs

Jia Ching Wang, Jhing Fa Wang, Wai He Kuok, Hsiao Ping Lee, Chung Hsien Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we present a robust text-independent speaker recognition system. The proposed system mainly includes an SNR-aware subspace-based enhancement technique and probabilistic support vector machines (SVMs). First, we construct a perceptual filterbank from psycho-acoustic model and incorporate it with the subspace-based enhancement approach. The prior SNR of each subband within the perceptual filterbank is taken to decide the estimator's gain to effectively suppress environmental background noises. Next, this study uses probabilistic SVMs to identify the speaker from the enhanced speech. The superiority of the proposed system has been demonstrated by twenty speaker recognition from AURORA-2 database with in-car noises.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Pages1161-1164
Number of pages4
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Toronto, ON, Canada
Duration: 9 Jul 200612 Jul 2006

Publication series

Name2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Volume2006

Conference

Conference2006 IEEE International Conference on Multimedia and Expo, ICME 2006
Country/TerritoryCanada
CityToronto, ON
Period9/07/0612/07/06

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