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Volumn 10, Issue 4, 1996, Pages 249-264

Mean and variance adaptation within the MLLR framework

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; ESTIMATION; MARKOV PROCESSES; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; PATTERN RECOGNITION SYSTEMS; REGRESSION ANALYSIS;

EID: 0030263447     PISSN: 08852308     EISSN: None     Source Type: Journal    
DOI: 10.1006/csla.1996.0013     Document Type: Article
Times cited : (353)

References (23)
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    • Gales, M. J. F. & Woodland, P. C. (1996). Variance compensation within the MLLR framework. Technical Report CUED/F-INFENG/TR242, Cambridge University, Cambridge, U.K. Available via anonymous ftp from: svr-ftp.eng.cam.ac.uk.
    • (1996) Variance Compensation Within the MLLR Framework
    • Gales, M.J.F.1    Woodland, P.C.2
  • 5
    • 0028996863 scopus 로고
    • A fast and flexible implementation of parallel model combination
    • Gales, M. J. F. & Young, S. J. (1995a). A fast and flexible implementation of parallel model combination. Proceedings of the ICASSP 1, 133-136.
    • (1995) Proceedings of the ICASSP , vol.1 , pp. 133-136
    • Gales, M.J.F.1    Young, S.J.2
  • 6
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    • Robust speech recognition in additive and convolutional noise using parallel model combination
    • Gales, M. J. F. & Young, S. J. (1995e). Robust speech recognition in additive and convolutional noise using parallel model combination. Computer Speech and Language 9, 289-307.
    • (1995) Computer Speech and Language , vol.9 , pp. 289-307
    • Gales, M.J.F.1    Young, S.J.2
  • 7
    • 0028419019 scopus 로고
    • Maximum a-posteriori estimation for multivariate Gaussian mixture observations of Markov chains
    • Gauvain, J. L. & Lee, C. H. (1994). Maximum a-posteriori estimation for multivariate Gaussian mixture observations of Markov chains. IEEE Transactions on Speech and Audio Processing 2, 291-298.
    • (1994) IEEE Transactions on Speech and Audio Processing , vol.2 , pp. 291-298
    • Gauvain, J.L.1    Lee, C.H.2
  • 9
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    • Speaker adaptation by a linear transformation with optimized parameters
    • Jaschul, J. (1982). Speaker adaptation by a linear transformation with optimized parameters. Proceedings of the ICASSP 3, 1657-1670.
    • (1982) Proceedings of the ICASSP , vol.3 , pp. 1657-1670
    • Jaschul, J.1
  • 11
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    • A study of speaker adaptation of continuous density HMM parameters
    • Lee, C. H., Lin, C. H. & Juang, B. H. (1990). A study of speaker adaptation of continuous density HMM parameters. Proceedings of the ICASSP 1, 145-148.
    • (1990) Proceedings of the ICASSP , vol.1 , pp. 145-148
    • Lee, C.H.1    Lin, C.H.2    Juang, B.H.3
  • 13
    • 84864010278 scopus 로고
    • Speaker adaptation of continuous density HMMs using linear regression
    • Leggetter, C. J. & Woodland, P. C. (1994). Speaker adaptation of continuous density HMMs using linear regression. Proceedings of the ICSLP 2, 451-454.
    • (1994) Proceedings of the ICSLP , vol.2 , pp. 451-454
    • Leggetter, C.J.1    Woodland, P.C.2
  • 14
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    • Flexible speaker adaptation for large vocabulary speech recognition
    • Leggetter, C. J. & Woodland, P. C. (1995a). Flexible speaker adaptation for large vocabulary speech recognition. Proceedings of Eurospeech 2, 1155-1158.
    • (1995) Proceedings of Eurospeech , vol.2 , pp. 1155-1158
    • Leggetter, C.J.1    Woodland, P.C.2
  • 15
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    • Leggetter, C. J. & Woodland, P. C. (1995b). Maximum likelihood linear regression for speaker adaptation of continuous density HMMs. Computer Speech and Language 9, 171-186.
    • (1995) Computer Speech and Language , vol.9 , pp. 171-186
    • Leggetter, C.J.1    Woodland, P.C.2
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    • Hidden Markov model decomposition of speech and noise
    • Varga, A. P. & Moore, R. K. (1990). Hidden Markov model decomposition of speech and noise. Proceedings of the ICASSP 2, 845-848.
    • (1990) Proceedings of the ICASSP , vol.2 , pp. 845-848
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  • 21
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.