A general Chinese acoustic/phonetic decoder for syllable, word and continuous speech recognition

Author

Xu, D.X. ; Huang, T.Y. ; Lin, Z.W. ; Zu, D.X. ; Ma, B.

Author_Institution

Inst. of Autom., Acad. Sinica, Beijing, China

fYear

1994

fDate

13-16 Apr 1994

Firstpage

706

Abstract

The authors focus on a very general low-cost acoustic/phonetic decoder,making the best use of characteristics of Chinese speech. In learning phrases, they propose a three-stage learning concept with a very simple Viterbi segmentation and counting algorithm (VSC). In recognition, fast and accurate searching is possible due to the robust partial segmentation, syllable string network (SSN) and multi-threshold pruning strategy. The paper also describes a real-time isolated word recognition system with large vocabulary based on this decoder. The system is set up on a PC-486

Keywords

convolutional codes; decoding; learning (artificial intelligence); linguistics; maximum likelihood estimation; natural languages; search problems; speech coding; speech recognition; Chinese acoustic/phonetic decoder; Chinese speech; VSC; Viterbi segmentation and counting algorithm; continuous speech recognition; multithreshold pruning strategy; phrases; real-time isolated word recognition system; robust partial segmentation; searching; syllable recognition; syllable string network; three-stage learning concept; vocabulary; word recognition; Automatic speech recognition; Automation; Character recognition; Costs; Hidden Markov models; Iterative decoding; Markov random fields; Pattern recognition; Speech recognition; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on

Print_ISBN

0-7803-1865-X

Type

conf

DOI

10.1109/SIPNN.1994.344814

Filename

344814