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The Vocabulary Recognition Optimize using Acoustic and Lexical Search  

Ahn, Chan-Shik (광운대학교 컴퓨터공학과)
Oh, Sang-Yeob (경원대학교 IT대학 컴퓨터소프트웨어)
Publication Information
Journal of Korea Multimedia Society / v.13, no.4, 2010 , pp. 496-503 More about this Journal
Abstract
Speech recognition system is developed of standalone, In case of a mobile terminal using that low recognition rate represent because of limitation of memory size and audio compression. This study suggest vocabulary recognition highest performance improvement system for separate acoustic search and lexical search. Acoustic search is carry out in mobile terminal, lexical search is carry out in server processing system. feature vector of speech signal extract using GMM a phoneme execution, recognition a phoneme list transmission server using Lexical Tree Search algorithm lexical search recognition execution. System performance as a result of represent vocabulary dependence recognition rate of 98.01%, vocabulary independence recognition rate of 97.71%, represent recognition speed of 1.58 second.
Keywords
speech recognition; acoustic search; lexical search;
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Times Cited By KSCI : 5  (Citation Analysis)
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