SPEAKER-INDEPENDENT CONNECTED WORDS RECOGNITION USING VECTOR QUANTIZATION OF THE TIME-SPACE PATTERN.

Satoru Hayamizu*, Ryu ichi Oka

*この研究の対応する著者

研究成果査読

抄録

This paper describes an attempt on the word recognition using a matrix of feature vectors as a description unit for a time pattern. Pseudo-phoneme patterns represented by the matrices are extracted in advance by a vector quantization. The connected words recognition is conducted using these pseudo-phoneme patterns and Continuous Dynamic Programming. Distance measures among matrices and an algorithm of the vector quantization are described. Results of preparatory experiment are shown for 54 city names.

本文言語English
ページ(範囲)160-163
ページ数4
ジャーナルDenshi Gijutsu Sogo Kenkyusho Iho/Bulletin of the Electrotechnical Laboratory
50
2-3
出版ステータスPublished - 1986
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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