Discriminative approach to dynamic variance adaptation for noisy speech recognition

Marc Delcroix*, Shinji Watanabe, Tomohiro Nakatani, Atsushi Nakamura

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The performance of automatic speech recognition suffers from severe degradation in the presence of noise or reverberation. One conventional approach for handling such acoustic distortions is to use a speech enhancement technique prior to recognition. However, most speech enhancement techniques introduce artifacts that create a mismatch between the enhanced speech features and the acoustic model used for recognition, therefore limiting the improvement in recognition performance. Recently, there has been increased interest in methods capable of compensating for such a mismatch by accounting for the feature variance during decoding. In this paper, we propose to estimate the feature variance using an adaptation technique based on a discriminative criterion. In an experiment using the Aurora2 database, the proposed method could achieve significant digit error rate reduction compared with a spectral subtraction pre-processor, and using a discriminative criterion for adaptation provided further improvement compared with maximum likelihood estimation.

本文言語English
ホスト出版物のタイトル2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11
ページ7-12
ページ数6
DOI
出版ステータスPublished - 2011
外部発表はい
イベント2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11 - Edinburgh, United Kingdom
継続期間: 2011 5月 302011 6月 1

出版物シリーズ

名前2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11

Other

Other2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11
国/地域United Kingdom
CityEdinburgh
Period11/5/3011/6/1

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • 信号処理
  • 通信

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