SELECTION OF WORD-CANDIDATES BASED ON VECTOR QUANTIZATION FOR SPEAKER INDEPENDENT WORD RECOGNITION.

Katsuhiko Shirai, Koji Sano, Kazunori Mano

研究成果: Article査読

抄録

A method to select word-candidates for speaker independent word recognition is described. LEP cepstral coefficients are used as feature vectors, and vector quantization method is used to quantize and compress the features in each analysis frame to obtain speaker independence. Experiments were carried out for 100 city names uttered by 10 speakers with good results.

本文言語English
ページ(範囲)68-75, 116
ジャーナルBulletin of Centre for Informatics (Waseda University)
3
出版ステータスPublished - 1986 3 1
外部発表はい

ASJC Scopus subject areas

  • 工学(全般)

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