A new speech recognition method based on VQ-distortion measure and HMM

Author

Nakagawa, Seiichi ; Suzuki, Hideyuki

Author_Institution

Dept. of Inf. & Comput. Sci., Toyohashi Univ. of Technol., Japan

Volume

2

fYear

1993

fDate

27-30 April 1993

Firstpage

676

Abstract

A speech recognition method which integrates a VQ (vector quantization)-distortion measure and a discrete HMM (hidden Markov model) is proposed. This VQ-distortion-based HMM uses a VQ-distortion measure at each state instead of the discrete output probability used by a discrete HMM. Although this method is regarded as a refined version of the VQ-distribution based recognition method proposed by D.K. Burton et al (IEEE Trans. vol. ASSP-33, no.4, p.837-49 of 1985), it is also considered as a special case of a mixtured distribution density HMM. The authors describe the relationship between the VQ-distortion-based HMM and conventional HMMs, and compare their speech recognition performance through experiments on speaker-dependent digit recognition. A recognition accuracy of 100% using the new method was obtained.<>

Keywords

hidden Markov models; speech recognition; vector quantisation; IEEE Trans.; VQ-distortion measure; VQ-distortion-based HMM; accuracy; hidden Markov model; mixtured distribution density HMM; performance; speaker-dependent digit recognition; speech recognition method; vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on

Conference_Location

Minneapolis, MN, USA

ISSN

1520-6149

Print_ISBN

0-7803-7402-9

Type

conf

DOI

10.1109/ICASSP.1993.319401

Filename

319401