On-line adaptation and Bayesian detection of environmental changes based on a macroscopic time evolution system

Shinji Watanabe*, Atsushi Nakamura

*この研究の対応する著者

研究成果

3 被引用数 (Scopus)

抄録

Acoustic characteristics are often changed over time as a result of various factors including changes of speakers, speaking styles, and noise sources. Incremental adaptation techniques for speech recognition are aimed at adjusting acoustic models quickly and stably to such time-variant acoustic characteristics. Recently we proposed a novel incremental adaptation framework based on a macroscopic time evolution system, which models the time-variant characteristics by successively updating posterior distributions of acoustic model parameters. This paper proposes fast incremental adaptation based on a macroscopic time evolution system that realizes an utterance-by-utterance update by approximating the posterior distributions. This adaptation was used to perform on-line adaptation of Japanese broadcast news for very large vocabulary continuous speech recognition (700k vocabulary size) in real time. The word accuracy was improved from 73.9% to 85.1%. In addition, by incorporating a Bayesian model selection approach, we realized the simultaneous on-line adaptation and detection of environmental changes.

本文言語English
ホスト出版物のタイトル2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
ページ4373-4376
ページ数4
DOI
出版ステータスPublished - 2009
外部発表はい
イベント2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwan, Province of China
継続期間: 2009 4 192009 4 24

出版物シリーズ

名前ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(印刷版)1520-6149

Conference

Conference2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
国/地域Taiwan, Province of China
CityTaipei
Period09/4/1909/4/24

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • 電子工学および電気工学

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