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Volumn 13, Issue 6, 1992, Pages 379-387

Minimum error classification training of HMMs- Implementation details and experimental results

Author keywords

Discriminant training; Hidden Markov modelling; Minimum error classification; Speech recognition

Indexed keywords


EID: 85007758082     PISSN: 03882861     EISSN: None     Source Type: Journal    
DOI: 10.1250/ast.13.379     Document Type: Article
Times cited : (17)

References (7)
  • 1
    • 0025659245 scopus 로고
    • Estimation of hidden Markov model parameters by minimizing empirical error rate
    • A. Ljolje, Y. Ephraim, and L. R. Rabiner, “Estimation of hidden Markov model parameters by minimizing empirical error rate,” Proc. ICASSP-90, 709–712 (1990).
    • (1990) Proc. ICASSP-90 , pp. 709-712
    • Ljolje, A.1    Ephraim, Y.2    Rabiner, L.R.3
  • 2
    • 0026370309 scopus 로고
    • Training HMMs using a minimum error approach
    • H. Franco and A. Serralheiro, “Training HMMs using a minimum error approach,” Proc. ICASSP-91, 357–360 (1991).
    • (1991) Proc. ICASSP-91 , pp. 357-360
    • Franco, H.1    Serralheiro, A.2
  • 6
    • 0026368472 scopus 로고
    • Discriminative analysis of distoration sequences in speech recognition
    • P. C. Chang, S. H. Chen, and B. H. Juang, “Discriminative analysis of distoration sequences in speech recognition,” Proc. ICASSP-91, 549–552 (1991).
    • (1991) Proc. ICASSP-91 , pp. 549-552
    • Chang, P.C.1    Chen, S.H.2    Juang, B.H.3
  • 7
    • 0003897782 scopus 로고
    • Introduction to Non-linear Optimization
    • Macmillan, London
    • L. E. Scales, Introduction to Non-linear Optimization, Macmillan Computer Science Series (Macmillan, London, 1985).
    • (1985) Macmillan Computer Science Series
    • Scales, L.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.