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Conference Paper: SPEAKER-INDEPENDENT ISOLATED WORD RECOGNITION USING WORD-BASED VECTOR QUANTIZATION AND HIDDEN MARKOV MODELS.

TitleSPEAKER-INDEPENDENT ISOLATED WORD RECOGNITION USING WORD-BASED VECTOR QUANTIZATION AND HIDDEN MARKOV MODELS.
Authors
Issue Date1987
Citation
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1987, p. 1135-1138 How to Cite?
AbstractThe authors investigate the possibility of using word-based vector quantization with hidden Markov models for speaker-independent isolated word recognition. Two word-based algorithms were proposed and studied. Experiments were carried out on Chinese (Cantonese) digits spoken by 110 speakers (55 males and 55 females) in two databases. An improvement of about 3% in recognition rate was obtained in one of the word-based algorithms. The results and implications are discussed.
Persistent Identifierhttp://hdl.handle.net/10722/158018
ISSN

 

DC FieldValueLanguage
dc.contributor.authorCheung, YSen_US
dc.contributor.authorLeung, STen_US
dc.date.accessioned2012-08-08T08:57:44Z-
dc.date.available2012-08-08T08:57:44Z-
dc.date.issued1987en_US
dc.identifier.citationIcassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1987, p. 1135-1138en_US
dc.identifier.issn0736-7791en_US
dc.identifier.urihttp://hdl.handle.net/10722/158018-
dc.description.abstractThe authors investigate the possibility of using word-based vector quantization with hidden Markov models for speaker-independent isolated word recognition. Two word-based algorithms were proposed and studied. Experiments were carried out on Chinese (Cantonese) digits spoken by 110 speakers (55 males and 55 females) in two databases. An improvement of about 3% in recognition rate was obtained in one of the word-based algorithms. The results and implications are discussed.en_US
dc.languageengen_US
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_US
dc.titleSPEAKER-INDEPENDENT ISOLATED WORD RECOGNITION USING WORD-BASED VECTOR QUANTIZATION AND HIDDEN MARKOV MODELS.en_US
dc.typeConference_Paperen_US
dc.identifier.emailCheung, YS:paul.cheung@hku.hken_US
dc.identifier.authorityCheung, YS=rp00077en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0023211838en_US
dc.identifier.spage1135en_US
dc.identifier.epage1138en_US
dc.identifier.scopusauthoridCheung, YS=7202595335en_US
dc.identifier.scopusauthoridLeung, ST=7202044708en_US

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