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A Design of Taiwanese Speech Recognition System

This thesis investigates the design and implementation strategies for a Taiwanese speech recognition system. It adopts a 4 plus 1¡]five times¡^recording strategy, where the 1st four recordings are used for speech feature training and the last recording for speech recognition simulation. Mel-frequency cepstrum coefficients and hidden Markov model are used as the feature model and the recognition model respectively. Under the Intel Celeron 2.4 GHz personal computer and Red Hat Linux 9.0 operating system environment, a correct phrase recognition rate of 90% can be reached for a 4200 Taiwanese phrase database.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0824109-170104
Date24 August 2009
CreatorsJhu, Hao-fu
ContributorsChii-Maw Uang, Chih-Chien Chen, Tsung Lee, Sheau-Shong Bor
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0824109-170104
Rightsnot_available, Copyright information available at source archive

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