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Volumn 34, Issue 1-2, 2001, Pages 159-174

Transformation-based Bayesian prediction for adaptation of HMMs

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FILTERING; DATA STRUCTURES; ERROR ANALYSIS; MARKOV PROCESSES; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS;

EID: 0034818518     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6393(00)00052-2     Document Type: Article
Times cited : (10)

References (30)
  • 2
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    • Maximum a posteriori linear regression for hidden Markov model adaptation
    • Budapest, September 1999
    • Chesta, C., Siohan O., Lee, C.-H., 1999. Maximum a posteriori linear regression for hidden Markov model adaptation. In: Proc. Eurospeech 99, Budapest, September 1999, pp. 211-214.
    • (1999) Proc. Eurospeech 99 , pp. 211-214
    • Chesta, C.1    Siohan, O.2    Lee, C.-H.3
  • 3
    • 0001365754 scopus 로고    scopus 로고
    • On-line hierarchical transformation of hidden Markov models for speech recognition
    • Chien, J.T., 1999. On-line hierarchical transformation of hidden Markov models for speech recognition. IEEE Transactions on Speech and Audio Processing 7 (6), 656-667.
    • (1999) IEEE Transactions on Speech and Audio Processing , vol.7 , Issue.6 , pp. 656-667
    • Chien, J.T.1
  • 4
    • 33646944471 scopus 로고    scopus 로고
    • Bayesian affine transformation of HMM parameters for instantaneous and supervised adaptation in telephone speech recognition
    • Rhodes, Greece
    • Chien, J.T., Wang, H.-C., Lee, C.-H., 1997. Bayesian affine transformation of HMM parameters for instantaneous and supervised adaptation in telephone speech recognition. In: Proc. Eurospeech, Rhodes, Greece, pp. 2575-2578.
    • (1997) Proc. Eurospeech , pp. 2575-2578
    • Chien, J.T.1    Wang, H.-C.2    Lee, C.-H.3
  • 10
    • 0028419019 scopus 로고
    • Maximum a posteriori estimation of multivariate Gaussian mixture observations of Markov chains
    • Gauvain, J.-L., Lee, C.-H., 1994. Maximum a posteriori estimation of multivariate Gaussian mixture observations of Markov chains. IEEE Transactions on Speech and Audio Processing 2 (2), 291-298.
    • (1994) IEEE Transactions on Speech and Audio Processing , vol.2 , Issue.2 , pp. 291-298
    • Gauvain, J.-L.1    Lee, C.-H.2
  • 12
    • 0031103160 scopus 로고    scopus 로고
    • On-line adaptive learning of continuous density hidden Markov models based on approximate recursive Bayes estimate
    • Huo, Q., Lee, C.-H., 1997. On-line adaptive learning of continuous density hidden Markov models based on approximate recursive Bayes estimate. IEEE Transactions on Speech and Audio Processing 5, 161-172.
    • (1997) IEEE Transactions on Speech and Audio Processing , vol.5 , pp. 161-172
    • Huo, Q.1    Lee, C.-H.2
  • 15
    • 0011450202 scopus 로고
    • A technique for estimating marginal posterior densities in hierarchical models using mixtures of conditional densities
    • Johnson, V.E., 1992. A technique for estimating marginal posterior densities in hierarchical models using mixtures of conditional densities. Journal of the American Statistical Association 87 (419), 852-860.
    • (1992) Journal of the American Statistical Association , vol.87 , Issue.419 , pp. 852-860
    • Johnson, V.E.1
  • 21
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rabiner, L.R., 1989. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77 (2), 257-286.
    • (1989) Proc. IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 23
    • 0030149866 scopus 로고    scopus 로고
    • A maximum-likelihood approach to stochastic matching for robust speech recognition
    • Sankar, A., Lee, C.-H., 1996. A maximum-likelihood approach to stochastic matching for robust speech recognition. IEEE Transactions on Speech and Audio Processing 4 (3), 190-202.
    • (1996) IEEE Transactions on Speech and Audio Processing , vol.4 , Issue.3 , pp. 190-202
    • Sankar, A.1    Lee, C.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.