Word recognition system using network representation of acoustic phonetic segments

Satoru Hayamizu, Kazuyo Tanaka, Kozo Ohta

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalDenshi Gijutsu Sogo Kenkyusho Iho/Bulletin of the Electrotechnical Laboratory
Volume54
Issue number7
Publication statusPublished - 1990
Externally publishedYes

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Electrical and Electronic Engineering

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