Template-based Spectral Estimation using microphone array for speech recognition

Satoshi Tamura, Eriko Hishikawa, Wataru Taguchi, Satoru Hayamizu

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

Abstract

This paper proposes a Template-based Spectral Estimation (TSE) method for noise reduction of microphone array processing aiming at speech recognition enhancement. In the proposed method, a noise template in a complex plane is calculated for each frequency bin using non-speech audio signals observed at microphones. Then for every noise-overlapped speech signals, a speech signal can be reformed by applying the template and the gradient descent method. Experiments were conducted to evaluate not only performance of noise reduction but also improvement of speech recognition. Then NRR 16.7dB improvement was achieved by combining TSE and Spectral Subtraction (SS) methods. For speech recognition, 44% relative recognition error reduction was obtained comparing with the conventional SS method.

Original languageEnglish
Title of host publicationProceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010
PublisherInternational Speech Communication Association
Pages2050-2053
Number of pages4
Publication statusPublished - 2010
Externally publishedYes

Publication series

NameProceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Keywords

  • Microphone array
  • Noise reduction
  • Spectral sub-truction
  • Speech recognition enhancement

ASJC Scopus subject areas

  • Language and Linguistics
  • Speech and Hearing

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