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Volumn , Issue , 2003, Pages 1477-1480

Modeling Cantonese pronunciation variation by acoustic model refinement

Author keywords

[No Author keywords available]

Indexed keywords

MODELING LANGUAGES; SPEECH COMMUNICATION; TELEPHONE SETS;

EID: 85009206008     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (7)
  • 1
    • 0033676944 scopus 로고    scopus 로고
    • Pronunciation ambiguity vs pronunciation variability in speech recognition
    • Istanbul
    • M. Saraclar and S. Khudanpur, "Pronunciation Ambiguity VS Pronunciation Variability in Speech Recognition", in Proceedings of ICASSP-00, Vol.3, pp.1679-82, Istanbul, 2000.
    • (2000) Proceedings of ICASSP-00 , vol.3 , pp. 1679-1682
    • Saraclar, M.1    Khudanpur, S.2
  • 3
    • 85009217168 scopus 로고    scopus 로고
    • Modeling pronunciation variation for Cantonese speech recognition
    • Denver
    • P. Kam, "Modeling Pronunciation Variation for Cantonese Speech Recognition", in Proceedings of PMLA-02, pp.1445-8, Denver, 2002.
    • (2002) Proceedings of PMLA-02 , pp. 1445-1448
    • Kam, P.1
  • 5
    • 0007647057 scopus 로고    scopus 로고
    • Development of Cantonese spoken language corpora for speech applications
    • Singapore
    • W.K. Lo, T. Lee and P.C. Ching, "Development of Cantonese Spoken Language Corpora For Speech Applications", in Proceedings of ISCSLP-98, pp.102-7, Singapore, 1998.
    • (1998) Proceedings of ISCSLP-98 , pp. 102-107
    • Lo, W.K.1    Lee, T.2    Ching, P.C.3
  • 6
    • 85135262341 scopus 로고    scopus 로고
    • Pronunciation modeling by sharing Gaussian densities across phonetic models
    • Hungary
    • M. Saraclar, "Pronunciation Modeling by Sharing Gaussian Densities across Phonetic Models", in Proceedings of Eurospeech-99, Vol.1, pp.515-8, Hungary, 1999.
    • (1999) Proceedings of Eurospeech-99 , vol.1 , pp. 515-518
    • Saraclar, M.1
  • 7
    • 0141479954 scopus 로고    scopus 로고
    • Optimal Clustering of Multivariate Normal Distributions Using Divergence and its Application to HMM Adaptation
    • Hong Kong
    • T.A. Myrvoll and F. K. Soong, "Optimal Clustering of Multivariate Normal Distributions Using Divergence and its Application to HMM Adaptation", in Proceedings of ICASSP-03, Vol.1, pp.552-5, Hong Kong, 2003.
    • (2003) Proceedings of ICASSP-03 , vol.1 , pp. 552-555
    • Myrvoll, T.A.1    Soong, F.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.