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

Authors:
Seiichi Nakagawa;Hideyuki Suzuki
Affiliations:
Department of Information and Computer Sciences, Toyohashi University of Technology, Toyohashi, Japan;Department of Information and Computer Sciences, Toyohashi University of Technology, Toyohashi, Japan
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Year:
1993

Citing 1
Cited 1

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ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference

A new approach of speaker clustering based on the stereophonic differential energy

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Abstract

We propose a new speech recognition method which integrates a VQ-distortion measure and a discrete HMM. This VQ-distortion based HMM uses a VQ-distortion measure at each state instead of a 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 Burton et al, it is also considered as a special case of a mixtured distribution density HMM. In this paper, we describe the relationship between the VQ-distortion based HMM and conventional HMMs, and compared their speech recognition performance through the experiments on speaker-independent spoken digit recognition. We obtained the recognition accuracy of 100% by using this new method.