CVC-based network representation of phoneme sequences with applications to spoken word recognition

Kazuyo Tanaka, Satoru Hayamizu, Kozo Ohta

Research output: Contribution to journalArticlepeer-review

Abstract

This paper describes a procedure to incorporate a rule-based network representation into automatic speech recognition systems. The network is used for representing acoustic-phonetic variations of spoken words. Rules for generating the networks are formulated in the framework of CVC-type units, and derived from a fine-labeled speech database. An automatic word recognition system is constructed to test the effectiveness of this method. The recognition results indicate that test samples are rarely mis-recognized when they are adequately labeled into acoustic-phonetic segment sequences and the network representation is substantially useful to satisfy this condition.

Original languageEnglish
Pages (from-to)56-62
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

Fingerprint Dive into the research topics of 'CVC-based network representation of phoneme sequences with applications to spoken word recognition'. Together they form a unique fingerprint.

Cite this