메뉴 건너뛰기




Volumn 3, Issue 5, 1995, Pages 334-345

Bayesian Adaptive Learning of the Parameters of Hidden Markov Model for Speech Recognition

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA; PARAMETER ESTIMATION; STATISTICAL METHODS; VECTORS;

EID: 0029377113     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/89.466661     Document Type: Article
Times cited : (58)

References (45)
  • 1
    • 0000764531 scopus 로고
    • Logistic-normal distributions: Some properties and uses
    • J. Aitchison and S. M. Shen, “Logistic-normal distributions: Some properties and uses,” Biometrika, vol. 67, pp. 261-272, 1980.
    • (1980) Biometrika , vol.67 , pp. 261-272
    • Aitchison, J.1    Shen, S.M.2
  • 2
    • 0001862769 scopus 로고
    • An inequality and associated maximization techniques in statistical estimation for probabilistic functions of Markov processes
    • L. E. Baum, “An inequality and associated maximization techniques in statistical estimation for probabilistic functions of Markov processes,” Inequalities, vol. 3, pp. 1-8, 1972.
    • (1972) Inequalities , vol.3 , pp. 1-8
    • Baum, L.E.1
  • 3
    • 84965063004 scopus 로고
    • An inequality with applications to statistical estimation for probabilistic functions of a Markov process and to a model for ecology
    • L. E. Baum and J. A. Egon, “An inequality with applications to statistical estimation for probabilistic functions of a Markov process and to a model for ecology,” Bull. Amer. Math. Soc., vol. 73, pp. 360-363, 1967.
    • (1967) Bull. Amer. Math. Soc. , vol.73 , pp. 360-363
    • Baum, L.E.1    Egon, J.A.2
  • 4
    • 0000353178 scopus 로고
    • A maximization technique occurring in the statistical analysis of probabilistic function of Markov chains
    • L. E. Baum, T. Petrie, G. Soules, and N. Weiss, “A maximization technique occurring in the statistical analysis of probabilistic function of Markov chains,” Annals Math. Statis., vol. 41, no. 1, pp. 164-171, 1970.
    • (1970) Annals Math. Statis. , vol.41 , Issue.1 , pp. 164-171
    • Baum, L.E.1    Petrie, T.2    Soules, G.3    Weiss, N.4
  • 5
    • 0025629882 scopus 로고
    • x2018;Tied mixture continuous parameter modeling for speech recognition
    • Speech, Signal Processing
    • J. R. Bellegarda and D. Nahamoo, Tied mixture continuous parameter modeling for speech recognition,” IEEE Trans Acoust., Speech, Signal Processing, vol. 38, no. 12, pp. 2033-2045, 1990.
    • (1990) IEEE Trans Acoust. , vol.38 , Issue.12 , pp. 2033-2045
    • Bellegarda, J.R.1    Nahamoo, D.2
  • 6
    • 0020498256 scopus 로고
    • Bayesian adaptation in speech recognition
    • Boston, May
    • P. F. Brown, C.-H. Lee, and J. C. Spohrer, “Bayesian adaptation in speech recognition,” in Proc. ICASSP-83, Boston, May 1983, pp. 761-764.
    • (1983) Proc. ICASSP-83 , pp. 761-764
    • Brown, P.F.1    Lee, C.-H.2    Spohrer, J.C.3
  • 8
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • J., Ser. B.
    • A. P. Dempster. N. M. Laird, and D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” Royal Statist. Soc., J., Ser. B. vol. 39, no. 1, pp. 1-38, 1977.
    • (1977) Royal Statist. Soc. , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 9
    • 84912939379 scopus 로고
    • Large-vocabulary speech recognition with speaker-adapted codebook and HMM parameters
    • Paris, Sept.
    • M. Ferretti and S. Scarci, “Large-vocabulary speech recognition with speaker-adapted codebook and HMM parameters,” in Proc. Eurospeech89, Paris, Sept. 1989, pp. 154-156.
    • (1989) Proc. Eurospeech89 , pp. 154-156
    • Ferretti, M.1    Scarci, S.2
  • 10
    • 0015600423 scopus 로고
    • The Viterbi algorithm
    • G. D. Forney, “The Viterbi algorithm,” Proc. IEEE, vol. 61, pp. 268-278, 1973.
    • (1973) Proc. IEEE , vol.61 , pp. 268-278
    • Forney, G.D.1
  • 11
    • 0040262052 scopus 로고
    • Bayesian learning of Gaussian mixture densities for hidden Markov models
    • Feb.
    • J.-L. Gauvain and C.-H. Lee, “Bayesian learning of Gaussian mixture densities for hidden Markov models,” in Proc. DARPA Speech Natural Language Workshop, Feb. 1991, pp. 272-277.
    • (1991) Proc. DARPA Speech Natural Language Workshop , pp. 272-277
    • Gauvain, J.-L.1    Lee, C.-H.2
  • 12
    • 0026882821 scopus 로고
    • Bayesian learning for hidden Markov model with Gaussian mixture state observation densities
    • “Bayesian learning for hidden Markov model with Gaussian mixture state observation densities,” Speech Commun., vol. 11, pp. 205-213, 1992.
    • (1992) Speech Commun. , vol.11 , pp. 205-213
  • 13
    • 0008853606 scopus 로고
    • MAP estimation of continuous density HMM: Theory and applications
    • Feb.
    • “MAP estimation of continuous density HMM: Theory and applications,” in Proc. DARPA Speech Natural Language Workshop, Feb. 1992, pp. 185-190.
    • (1992) Proc. DARPA Speech Natural Language Workshop , pp. 185-190
  • 14
    • 0028419019 scopus 로고
    • Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains
    • Apr.
    • “Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains,” IEEE Trans. Speech Audio Processing, vol. 2, no. 2, pp. 291-298, Apr. 1994.
    • (1994) IEEE Trans. Speech Audio Processing , vol.2 , Issue.2 , pp. 291-298
  • 15
    • 0000250399 scopus 로고
    • Semicontinuous hidden Markov models for speech signals
    • X.-D. Huang and M. A. Jack, “Semicontinuous hidden Markov models for speech signals,” Comput. Speech Language, vol. 3, pp. 239-251, 1989.
    • (1989) Comput. Speech Language , vol.3 , pp. 239-251
    • Huang, X.-D.1    Jack, M.A.2
  • 16
    • 84941863384 scopus 로고
    • A study on several statistical acoustic modeling problems in automatic speech recognition
    • Department of Electronic Engineering Information Science, Univ. of Science and Technology of China, Mar.
    • Q. Huo, “A study on several statistical acoustic modeling problems in automatic speech recognition,” Ph. D. thesis, Department of Electronic Engineering Information Science, Univ. of Science and Technology of China, Mar. 1994.
    • (1994) Ph. D. thesis
    • Huo, Q.1
  • 17
    • 0039035215 scopus 로고
    • Bayesian adaptive learning of the parameters of hidden Markov model for speech recognition
    • Department of Computer Science, The Univ. of Hong Kong, Sept.
    • Q. Huo and C. Chan, “Bayesian adaptive learning of the parameters of hidden Markov model for speech recognition,” Technical Report TR 92-08, Department of Computer Science, The Univ. of Hong Kong, Sept. 1992.
    • (1992) Technical Report TR 92-08
    • Huo, Q.1    Chan, C.2
  • 18
    • 33646914873 scopus 로고
    • Bayesian learning of the parameters of discrete and tied mixture HMMs for speech recognition
    • Berlin, Germany
    • Q. Huo, C. Chan, and C.-H. Lee. “Bayesian learning of the parameters of discrete and tied mixture HMMs for speech recognition,” in Proc. Eurospeech-93, Berlin, Germany, 1993, pp. III-1567-1570.
    • (1993) Proc. Eurospeech-93 , pp. 1567-1570
    • Huo, Q.1    Chan, C.2    Lee, C.-H.3
  • 19
    • 84863025430 scopus 로고
    • Bayesian learning of the SCHMM parameters for speech recognition
    • Adelaide, Australia
    • “Bayesian learning of the SCHMM parameters for speech recognition,” in Proc. ICASSP-94, Adelaide, Australia, 1994, pp. I-221-224.
    • (1994) Proc. ICASSP-94 , pp. 221-224
  • 20
    • 84941857047 scopus 로고
    • Segmental quasi-Bayesian learning of the mixture coefficients in SCHMM for speech recognition
    • Image Processing, Neural Networks, Hong Kong
    • “Segmental quasi-Bayesian learning of the mixture coefficients in SCHMM for speech recognition,” in Proc. 1994 Int. Symp. Speech, Image Processing, Neural Networks, Hong Kong, 1994, pp. 678-681.
    • (1994) Proc. 1994 Int. Symp. Speech , pp. 678-681
  • 21
    • 0022097649 scopus 로고
    • Maximum-likelihood estimation of mixture multivariate stochastic observations of Markov chains
    • B.-H. Juang, “Maximum-likelihood estimation of mixture multivariate stochastic observations of Markov chains,” ATT Tech. J., vol. 64, no. 6. pp. 1235-1249, 1985.
    • (1985) ATT Tech. J. , vol.64 , Issue.6 , pp. 1235-1249
    • Juang, B.-H.1
  • 22
    • 0022691022 scopus 로고
    • Maximum likelihood estimation for multivariate mixture observations of Markov chains
    • Mar.
    • B.-H. Juang, S. E. Levinson, and M. M. Sondhi, “Maximum likelihood estimation for multivariate mixture observations of Markov chains,” IEEE Trans. Inform. Theory, vol. IT-32, no. 2, pp. 307-309, Mar. 1986.
    • (1986) IEEE Trans. Inform. Theory , vol.IT-32 , Issue.2 , pp. 307-309
    • Juang, B.-H.1    Levinson, S.E.2    Sondhi, M.M.3
  • 23
    • 0025493667 scopus 로고
    • The segmental k-means algorithm for estimating parameters of hidden Markov models
    • Speech, Signal Processing, Sept.
    • B.-H. Juang and L. R. Rabiner, “The segmental k-means algorithm for estimating parameters of hidden Markov models,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 38, no. 9, pp. 1639-1641, Sept. 1990.
    • (1990) IEEE Trans. Acoust. , vol.38 , Issue.9 , pp. 1639-1641
    • Juang, B.-H.1    Rabiner, L.R.2
  • 24
    • 84941868890 scopus 로고
    • Speaker clustering with hidden Markov models
    • Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, June
    • H.-K. Kuo. “Speaker clustering with hidden Markov models,” Master's thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, June 1992.
    • (1992) Master's thesis
    • Kuo, H.-K.1
  • 25
    • 0141555894 scopus 로고
    • Decision, and Inference. New York:, Holt, Rinehart and Winston
    • I. H. LaValle, An Introduction to Probability, Decision, and Inference. New York:, Holt, Rinehart and Winston, 1970.
    • (1970) An Introduction to Probability
    • LaValle, I.H.1
  • 26
    • 0027192618 scopus 로고
    • Speaker adaptation based on MAP estimation of HMM parameters
    • Apr.
    • C.-H. Lee and J.-L. Gauvain, “Speaker adaptation based on MAP estimation of HMM parameters,” in Proc. ICASSP-93, Apr. 1993, pp. 11-588-591.
    • (1993) Proc. ICASSP-93 , pp. 588-591
    • Lee, C.-H.1    Gauvain, J.-L.2
  • 27
    • 0026142334 scopus 로고
    • A study on speaker adaptation of the parameters of continuous density hidden Markov models
    • Apr.
    • C.-H. Lee. C.-H. Lin, and B.-H. Juang, “A study on speaker adaptation of the parameters of continuous density hidden Markov models,” IEEE Trans. Signal Processing, vol. 39, no. 4, pp. 806-814, Apr. 1991.
    • (1991) IEEE Trans. Signal Processing , vol.39 , Issue.4 , pp. 806-814
    • Lee, C.-H.1    Lin, C.-H.2    Juang, B.-H.3
  • 29
    • 0020734214 scopus 로고
    • An introduction to the application of the theory of probabilistic functions of a Markov process to automatic speech recognition
    • S. E. Levinson, L. R. Rabiner, and M. M. Sondhi, “An introduction to the application of the theory of probabilistic functions of a Markov process to automatic speech recognition,” Bell Syst. Tech. J., vol. 62, no. 4, pp. 1035-1074, 1983.
    • (1983) Bell Syst. Tech. J. , vol.62 , Issue.4 , pp. 1035-1074
    • Levinson, S.E.1    Rabiner, L.R.2    Sondhi, M.M.3
  • 30
    • 0018918171 scopus 로고
    • An algorithm for vector quantizer design
    • Y. Linde, A. Buzo, and R.M. Gray, “An algorithm for vector quantizer design,” IEEE Trans. Commun., vol. COM-28, pp. 84-95, 1980.
    • (1980) IEEE Trans. Commun. , vol.COM-28 , pp. 84-95
    • Linde, Y.1    Buzo, A.2    Gray, R.M.3
  • 31
    • 0020180460 scopus 로고
    • Maximum likelihood estimation for multivariate observations of Markov sources
    • L. R. Liporace. “Maximum likelihood estimation for multivariate observations of Markov sources,” IEEE Trans. Inform. Theory, vol. IT-28, pp. 729-734, 1982.
    • (1982) IEEE Trans. Inform. Theory , vol.IT-28 , pp. 729-734
    • Liporace, L.R.1
  • 32
    • 0017553461 scopus 로고
    • A quasi-Bayes unsupervised learning procedure for priors
    • U. E. Makov and A. F. M. Smith, “A quasi-Bayes unsupervised learning procedure for priors,” IEEE Trans. Inform. Theory, vol. IT-23, no. 6, pp. 761-764, 1977.
    • (1977) IEEE Trans. Inform. Theory , vol.IT-23 , Issue.6 , pp. 761-764
    • Makov, U.E.1    Smith, A.F.M.2
  • 35
    • 0025588070 scopus 로고
    • Speaker hierarchical clustering for improving speaker independent HMM word recognition
    • Albuquerque, NM, Apr.
    • L. Mathan and L. Miclet, “Speaker hierarchical clustering for improving speaker independent HMM word recognition,” in Proc. ICASSP-90, Albuquerque, NM, Apr. 1990, pp. 149-152.
    • (1990) Proc. ICASSP-90 , pp. 149-152
    • Mathan, L.1    Miclet, L.2
  • 36
    • 0026387473 scopus 로고
    • A neural speaker model for speaker clustering
    • S. Nakamura and T. Akabane, “A neural speaker model for speaker clustering,” in Proc. ICASSP-91 Toronto, 1991, pp. 853-856.
    • (1991) Proc. ICASSP-91 Toronto , pp. 853-856
    • Nakamura, S.1    Akabane, T.2
  • 37
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Mar.
    • L. R. Rabiner, “A tutorial on hidden Markov models and selected applications in speech recognition,” Proc. IEEE, vol. 77, no. 2, pp. 257-286, Mar. 1989.
    • (1989) Proc. IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 38
    • 0024922972 scopus 로고
    • HMM clustering for connected word recognition
    • Glasgow, Scotland
    • L. R. Rabiner, C.-H. Lee, B.-H. Juang, and J.-G. Wilpon, “HMM clustering for connected word recognition,” in Proc. ICASSP-89, Glasgow, Scotland, 1989, pp. 405-08.
    • (1989) Proc. ICASSP-89 , pp. 405-408
    • Rabiner, L.R.1    Lee, C.-H.2    Juang, B.-H.3    Wilpon, J.-G.4
  • 39
    • 0022712081 scopus 로고
    • A segmental k-means training procedure for connected word recognition
    • L. R. Rabiner, J. G. Wilpon, and B.-H. Juang. “A segmental k-means training procedure for connected word recognition,” ATT Tech. J., vol. 65, no. 3, pp. 21-31, 1986.
    • (1986) ATT Tech. J. , vol.65 , Issue.3 , pp. 21-31
    • Rabiner, L.R.1    Wilpon, J.G.2    Juang, B.-H.3
  • 41
    • 0002533801 scopus 로고
    • The empirical Bayes approach to statistical decision problems
    • H. Robbins, “The empirical Bayes approach to statistical decision problems,” Ann. Math. Statist., vol. 35, pp. 1-20, 1964.
    • (1964) Ann. Math. Statist. , vol.35 , pp. 1-20
    • Robbins, H.1
  • 42
    • 0000592562 scopus 로고
    • a vector talker recognition system in text independent and text dependent modes
    • F.-K.
    • A. E. Rosenberg and F.-K. a vector talker recognition system in text independent and text dependent modes,” Comput. Speech Language, vol. 22, pp. 143-157, 1987.
    • (1987) Comput. Speech Language , vol.22 , pp. 143-157
    • Rosenberg, A.E.1
  • 43
    • 0001526001 scopus 로고
    • A quasi-Bayes sequential procedure for mixtures
    • Series B
    • A. F. M. Smith and U. E. Makov, “A quasi-Bayes sequential procedure for mixtures.” Royal Statist. Soc. J., Series B, vol. 40. no. 1, pp. 106-112, 1978.
    • (1978) Royal Statist. Soc. J. , vol.40 , Issue.1 , pp. 106-112
    • Smith, A.F.M.1    Makov, U.E.2
  • 45
    • 0002210265 scopus 로고
    • On the convergence properties of the EM algorithm
    • C. F. Jeff Wu. “On the convergence properties of the EM algorithm,” Annals Statist., vol. 11, no. 1, pp. 95-103, 1983.
    • (1983) Annals Statist. , vol.11 , Issue.1 , pp. 95-103
    • Jeff Wu, C.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.