Maximum Likelihood Estimation for Multivariate Mixture Observations of Markov Chains

IEEE Transactions on Information Theory

Volumn 32, Issue 2, 1986, Pages 307-309

  Juang, B H ^a   Levinson, Stephen E ^a   Sondhi, M M ^a  

^a LUCENT TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROBABILITY - RANDOM PROCESSES; SIGNAL FILTERING AND PREDICTION;

MARKOV PROCESSES; MAXIMUM-LIKELIHOOD ESTIMATION; PARAMETERIZATIONS;

SPEECH;

EID: 0022691022     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/TIT.1986.1057145     Document Type: Article

References (9)

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4. A. H. Gray and J. D. Markel, “Quantization and bit allocation in speech processing,” IEEE Trans. A coust. Speech Signal Processing, vol. ASSP-24, pp. 459–473, Dec. 1976.
5. 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, pp. 1035–1074, Apr. 1983.
6. L. R. Liporace, “Maximum likelihood estimation for multivariate observations of Markov sources,” IEEE Trans. Inform. Theory, vol. IT-28, pp. 729–734, Sept. 1982.
7. A. Nadas, “Hidden Markov chains, the forward-backward algorithm and initial statistics,” IEEE Trans. A coust. Speech Signal Processing, vol. ASSP-31, pp. 504–506, Apr. 1983.
8. L. R. Rabiner, J. G. Wilpon, and J. G. Ackenhusen, “On the effects of varying analysis parameters on an LPC-based isolated word recognizer,” Bell Syst. Tech. J., vol. 60, pp. 893–911, 1981.
9. H. W. Sorenson and D. L. Alspach, “Recursive Bayesian estimation using Gaussian sums,” Automation, vol. 7, pp. 465–479, 1971.