Design and implementation of a robot audition system for automatic speech recognition of simultaneous speech

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

研究成果: Paper査読

20 被引用数 (Scopus)

抄録

This paper addresses robot audition that can cope with speech that has a low signal-to-noise ratio (SNR) in real time by using robot-embedded microphones. To cope with such a noise, we exploited two key ideas; Preprocessing consisting of sound source localization and separation with a microphone array, and system integration based on missing feature theory (MFT). Preprocessing improves the SNR of a target sound signal using geometric source separation with multichannel post-filter. MFT uses only reliable acoustic features in speech recognition and masks unreliable parts caused by errors in preprocessing. MFT thus provides smooth integration between preprocessing and automatic speech recognition. A real-time robot audition system based on these two key ideas is constructed for Honda ASIMO and Humanoid SIG2 with 8-ch microphone arrays. The paper also reports the improvement of ASR performance by using two and three simultaneous speech signals.

本文言語English
ページ111-116
ページ数6
出版ステータスPublished - 2007 12 1
外部発表はい
イベント2007 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2007 - Kyoto, Japan
継続期間: 2007 12 92007 12 13

Conference

Conference2007 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2007
国/地域Japan
CityKyoto
Period07/12/907/12/13

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア
  • 人工知能

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