Word recognition system using network representation of acoustic phonetic segments

Satoru Hayamizu, Kazuyo Tanaka, Kozo Ohta

研究成果: Article査読

抄録

A word recognition system using network representation of acoustic phonetic segments is proposed and tested on a speaker-independent isolated word recognition task. The system has four major features, (1) context dependent segment modeling, (2) rule-based generation of networks of acoustic phonetic segments, (3) direct matching of input speech against networks and (4) usage of mel-cepstra and matrix representation of segments. Average error rates for the 10 male speakers were 0.6% for the 53 city names and 2.3% for the 220 words. They were 1/5 and 1/3 of those by the whole-word multiple template method, respectively. These results show the effectiveness of the proposed method.

本文言語English
ページ(範囲)1-7
ページ数7
ジャーナルDenshi Gijutsu Sogo Kenkyusho Iho/Bulletin of the Electrotechnical Laboratory
54
7
出版ステータスPublished - 1990
外部発表はい

ASJC Scopus subject areas

  • 凝縮系物理学
  • 電子工学および電気工学

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