ORGANIZATION OF SPEAKER SPACE BASED ON VECTOR QUANTIZATION METHOD.

Katsuhiko Shirai, Kazunori Mano, Shunichi Ishige, Koji Sano

研究成果: Conference contribution

抄録

A method is discussed for characterizing speaker individuality that could be used for speaker adaptation for speaker-independent phoneme recognition. To represent the individual traits of speakers, a speaker space is organized using distributions in a vector-quantized space. This space includes 200 speakers, each shown as a point in it. The experimental results for 200-speaker identification with 10 input words shows performance rates of 82% in first-order and 90% in the second-order case.

本文言語English
ホスト出版物のタイトルProceedings - International Conference on Pattern Recognition
出版社IEEE
ページ1152-1154
ページ数3
ISBN(印刷版)0818607424
出版ステータスPublished - 1986 12 1
外部発表はい

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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