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A design of speaker-independent medium-size phrase recognition system

There are a lot of difficulties that have to be overcome in the speaker-independent (S.I.) phrase recognition system . And the feasibility of accurate ,real-time and robust system pose of the greatest challenges in the system.
In this thesis ,the speaker-independent phase recognition system is based on Hidden Markov Model (HMM). HMM has been proved to be of great value in many applications, notably in speech recognition. HMM is a stochastic approach which characterizes many of the variability in speech signal. It applys the state-of-the-art approach to Automatic Speech Recognition .

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0912102-022621
Date12 September 2002
CreatorsLai, Zhao-Hua
ContributorsChih-Chien Chen, Tsong Lee, Chii-Maw Uang
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-0912102-022621
Rightsrestricted, Copyright information available at source archive

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