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Segmentation-free syllable recognition in continuously spoken Japanese

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1 Author(s)
T. Watanabe ; Nippon Electric Co., Ltd., Miyamae-ku, Kawasaki, Japan

A new recognition algorithm for continuously spoken Japanese is proposed. Recognition is accomplished by finding an optimal syllable sequence using dynamic programming (DP) to avoid the segmentation problem. CV (consonant-vowel) and VCV (vowel-consonant-vowel) templates are used to deal with the co-articulation problem. The VCV templates are prepared only for a subset of vowel and consonant combinations, as a description of the vowel-to-consonant transition, to reduce template registration labor as well as computational requirements. Template matching is made on a VCV level, also using dynamic programming, by connecting the VC part of the VCV template and the whole CV template. A 87% syllable recognition score was obtained for a male speaker. As an application example, large vocabulary word recognition was made. A 93% word recognition score was obtained for a 4300 word vocabulary.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.  (Volume:8 )

Date of Conference:

0-0 April 1983