Noise reduction based on microphone array and post-filtering for robust speech recognition

Junfeng Li, Masato Akagi, Yôiti Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a noise reduction system using microphone array and post-filtering to improve the recognition accuracy and robustness of hands-free speech recognition systems in adverse environments. In this research, we suppose that undesired noises are of localized and non-localized noise components. To deal with localized noise, we propose a hybrid noise estimation technique and a robust and accurate speech absence probability estimator to calculate the spectra of localized noise, which is further reduced by spectral subtraction. To deal with non-localized noise, we propose a hybrid post-filter with an assumption of a diffuse noise field. Speech recognition results show that the proposed noise reduction algorithm outperforms the other traditional algorithms in the tested noisy conditions.

Original languageEnglish
Title of host publication8th International Conference on Signal Processing, ICSP 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)0780397371, 9780780397378
DOIs
Publication statusPublished - 2006 Jan 1
Event8th International Conference on Signal Processing, ICSP 2006 - Guilin, China
Duration: 2006 Nov 162006 Nov 20

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume1

Other

Other8th International Conference on Signal Processing, ICSP 2006
CountryChina
CityGuilin
Period06/11/1606/11/20

Keywords

  • Microphone array
  • Post-filter
  • Speech recognition

ASJC Scopus subject areas

  • Signal Processing

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