Genetic algorithm-based improvement of robot hearing capabilities in separating and recognizing simultaneous speech signals

Shun'ichi Yamamoto*, Kazuhiro Nakadai, Mikio Nakano, Hiroshi Tsujino, Jean Marc Valin, Ryu Takeda, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno

*この研究の対応する著者

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

Since a robot usually hears a mixture of sounds, in particular, simultaneous speech signals, it should be able to localize, separate, and recognize each speech signal. Since separated speech signals suffer from spectral distortion, normal automatic speech recognition (ASR) may fail in recognizing such distorted speech signals. Yamamoto et al. proposed using the Missing Feature Theory to mask corrupt features in ASR, and developed the automatic missing-feature-mask generation (AMG) system by using information obtained by sound source separation (SSS). Our evaluations of recognition performance of the system indicate possibilities for improving it by optimizing many of its parameters. We used genetic algorithms to optimize these parameters. Each chromosome consists of a set of parameters for SSS and AMG, and each chromosome is evaluated by recognition rate of separated sounds. We obtained an optimized sets of parameters for each distance (from 50 cm to 250 cm by 50 cm) and direction (30, 60, and 90 degree intervals) for two simultaneous speech signals. The average isolated word recognition rates ranged from 84.9% to 94.7%.

本文言語English
ホスト出版物のタイトルAdvances in Applied Artificial Intelligence - 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Proceedings
出版社Springer Verlag
ページ207-217
ページ数11
ISBN(印刷版)3540354530, 9783540354536
出版ステータスPublished - 2006 1月 1
外部発表はい
イベント19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006 - Annecy, France
継続期間: 2006 6月 272006 6月 30

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4031 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006
国/地域France
CityAnnecy
Period06/6/2706/6/30

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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