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Volumn 12, Issue 1, 1998, Pages 23-39

Efficient training of high-order hidden Markov models using first-order representations

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; PARAMETER ESTIMATION;

EID: 0031651793     PISSN: 08852308     EISSN: None     Source Type: Journal    
DOI: 10.1006/csla.1997.0037     Document Type: Article
Times cited : (36)

References (13)
  • 6
    • 0001993550 scopus 로고
    • Principles of lexical language modelling for speech recognition
    • (S. Furui and M. M. Sondhi, eds), Marcel Dekker, New York
    • Jelinek, F., Mercer, R. L. & Roukos, S. (1992). Principles of lexical language modelling for speech recognition. In Advances in speech signal processing (S. Furui and M. M. Sondhi, eds), Marcel Dekker, New York.
    • (1992) Advances in Speech Signal Processing
    • Jelinek, F.1    Mercer, R.L.2    Roukos, S.3
  • 9
    • 0022685753 scopus 로고
    • Continuously variable duration hidden Markov models for automatic speech recognition
    • Levinson, S. E. (1986). Continuously variable duration hidden Markov models for automatic speech recognition. Computer Speech and Language, vol. 1 no. 1, pp. 29-45.
    • (1986) Computer Speech and Language , vol.1 , Issue.1 , pp. 29-45
    • Levinson, S.E.1
  • 10
    • 85028301902 scopus 로고
    • Automatic word recognition based on second-order hidden Markov models
    • Mari, J.-F. & Haton, J.-P. (1994). Automatic word recognition based on second-order hidden Markov models. In ICSLP-94, pp. 247-250.
    • (1994) ICSLP-94 , pp. 247-250
    • Mari, J.-F.1    Haton, J.-P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.