Revisiting autoregressive hidden Markov modeling of speech signals

IEEE Signal Processing Letters

Volumn 12, Issue 2, 2005, Pages 166-169

  Ephraim, Yariv ^a   Roberts, William J J ^b  

^a GEORGE MASON UNIVERSITY   (United States)

^b Atlantic Coast Technologies Inc   (United States)

Author keywords

Speech recognition; Switching autoregressive processes

Indexed keywords

CORRELATION METHODS; MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA; PARAMETER ESTIMATION; SPEECH RECOGNITION;

HIDDEN MARKOV MODELING; SWITCHING AUTOREGRESSIVE PROCESSES;

SPEECH PROCESSING;

EID: 13244265597     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2004.840914     Document Type: Article

References (17)

1. M. Askar and H. Derin, "A recursive algorithm for the Bayes solution of the smoothing problem," IEEE Trans. Autom. Control, vol. AC-26, no. 2, pp. 558-561, Apr. 1981.
2. M. Bisani and H. Ney, "Bootstrap estimates for confidence intervals in ASR performance evaluation," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., May 2004, pp. 409-412.
3. R. W. Chang and J. C. Hancock, "On receiver structure for channels having memory," IEEE Trans. Inf. Theory, vol. IT-12, no. 4, pp. 463-468, Oct. 1966.
4. P. A. Devijver, "Baum's forward-backward algorithm revisited," Pattern Recognition Lett., vol. 3, pp. 369-373, 1985.
5. Y. Ephraim, "Speech enhancement using state dependent dynamical system model," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. Mar. 1992, pp. 289-292.
6. Y. Ephraim, "Gain-adapted hidden Markov models for recognition of clean and noisy speech," IEEE Trans. Signal Process., vol. 40, no. 6, pp. 1303-1316, Jun. 1992.
7. Y. Ephraim and M. Rahim, "On second order statistics and linear estimation of cepstral coefficients," IEEE Trans. Speech Audio Process., vol. 7, no. 2, pp. 162-176, Mar. 1999.
8. Y. Ephraim and N. Merhav, "Hidden Markov processes," IEEE Trans. Inf. Theory, vol. 48, no. 6, pp. 1518-1569, Jun. 2002.
9. L. Gillick and S. Cox, "Some statistical issues in the comparison of speech recognition algorithms," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., May 1989, pp. 532-535.
10. J. D. Hamilton, Time Series Analysis. Princeton, NJ: Princeton Univ. Press, 1994.
11. B. G. Leroux and M. L. Puterman, "Maximum-penalized-likelihood estimation for independent and Markov-dependent mixture models," Biometr., vol. 48, pp. 545-558, Jun. 1992.
12. R. Lidl and H. Niederreiter, Eds., Finite Fields, 2nd ed. Cambridge, U.K.: Cambridge Univ. Press, 1997.
13. G. Lindgren, "Markov regime models for mixed distributions and switching regressions," Scan. J. Statist., vol. 5, pp. 81-91, 1978.
14. G. Ott, "Compact encoding of stationary Markov sources," IEEE Trans. Inf. Theory, vol. IT-13, no. 1, pp. 82-86, Jan. 1967.
15. A. B. Poritz, "Linear predictive hidden Markov models," in Proc. Symp. Applicat. Hidden Markov Models Text Speech, J. D. Ferguson, Ed.. Princeton, NJ, 1980, pp. 88-142.
16. J. Raviv, "Decision making in Markov chains applied to the problem of pattern recognition," IEEE Trans. Inf. Theory, vol. IT-3, no. 4, pp. 536-551, Oct. 1967.
17. C. J. Wellekens, "Explicit time correlation in hidden Markov models for speech recognition," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Apr. 1987, pp. 384-386.