Ears of the robot: Three simultaneous speech segregation and recognition using robot-mounted microphones

Naoya Mochiki*, Tetsuji Ogawa, Tetsunori Kobayashi

*この研究の対応する著者

研究成果: Article査読

3 被引用数 (Scopus)

抄録

A new type of sound source segregation method using robot-mounted microphones, which are free from strict head related transfer function (HRTF) estimation, has been proposed and successfully applied to three simultaneous speech recognition systems. The proposed segregation method is executed with sound intensity differences that are due to the particular arrangement of the four directivity microphones and the existence of a robot head acting as a sound barrier. The proposed method consists of three-layered signal processing: two-line SAFIA (binary masking based on the narrow band sound intensity comparison), two-line spectral subtraction and their integration. We performed 20 K vocabulary continuous speech recognition test in the presence of three speakers' simultaneous talk, and achieved more than 70% word error reduction compared with the case without any segregation processing.

本文言語English
ページ(範囲)1465-1468
ページ数4
ジャーナルIEICE Transactions on Information and Systems
E90-D
9
DOI
出版ステータスPublished - 2007 9

ASJC Scopus subject areas

  • ソフトウェア
  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学
  • 人工知能

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