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A Design of Speaker Dependent Mandarin Recognition System

A Mandarin phrase recognition system based on MFCC, LPC scaled excitation, vowel model, hidden Markov model (HMM) and Viterbi algorithm is proposed in this thesis. HMM, which is broadly used in speech recognition at present, is adopted in the main structure of recognition. In order to speed up the recognition time, we take advantage of stability of vowels in Mandarin and incorporate with vowel class recognition in our system. For the speaker-dependent case, a single Mandarin phrase recognition can be accomplished within 1 seconds on average in the laboratory environment.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0902105-225405
Date02 September 2005
CreatorsPan, Ruei-tsz
ContributorsChii-Maw Uang, Tsung Lee, Chih-Chien Chen
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-0902105-225405
Rightsnot_available, Copyright information available at source archive

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