An auditory-based feature for robust speech recognition

Yang Shao; Zhaozhang Jin; Deliang Wang; Soundararajan Srinivasan

doi:10.1109/ICASSP.2009.4960661

An auditory-based feature for robust speech recognition

Yang Shao, Zhaozhang Jin, Deliang Wang, Soundararajan Srinivasan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A conventional automatic speech recognizer does not perform well in the presence of noise, while human listeners are able to segregate and recognize speech in noisy conditions. We study a novel feature based on an auditory periphery model for robust speech recognition. Specifically, gammatone frequency cepstral coefficients are derived by applying a cepstral analysis on gammatone filterbank responses. Our evaluations show that the proposed feature performs considerably better than conventional acoustic features. We further demonstrate that integrating the proposed feature with a computational auditory scene analysis system yields promising recognition performance.

Original language	English (US)
Title of host publication	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
Pages	4625-4628
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2009.4960661
State	Published - 2009
Externally published	Yes
Event	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwan, Province of China Duration: Apr 19 2009 → Apr 24 2009

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Country/Territory	Taiwan, Province of China
City	Taipei
Period	4/19/09 → 4/24/09

Keywords

Auditory feature
Computational auditory scene analysis
Gammatone frequency cepstral coefficients
Robust speech recognition

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Online availability

10.1109/ICASSP.2009.4960661

Library availability

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Cite this

Shao, Y., Jin, Z., Wang, D., & Srinivasan, S. (2009). An auditory-based feature for robust speech recognition. In 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009 (pp. 4625-4628). Article 4960661 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2009.4960661

An auditory-based feature for robust speech recognition. / Shao, Yang; Jin, Zhaozhang; Wang, Deliang et al.
2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009. 2009. p. 4625-4628 4960661 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shao, Y, Jin, Z, Wang, D & Srinivasan, S 2009, An auditory-based feature for robust speech recognition. in 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009., 4960661, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 4625-4628, 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, Taipei, Taiwan, Province of China, 4/19/09. https://doi.org/10.1109/ICASSP.2009.4960661

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An auditory-based feature for robust speech recognition

Abstract

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Keywords

ASJC Scopus subject areas

Online availability

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