Hidden Markov Models and applications to speech modeling

[Bahl and Jelinek, 1975]

L. Bahl and F. Jelinek. Decoding for channels with insertions, deletions and substitutions with application to speech recognition. IEEE Transactions on Information Theory, IT-21:404-411, 1975.

[Bahl et al., 1987]

L. Bahl, P. Brown, P. de Souza, and R. Mercer. Estimating Hidden Markov Models so as to maximize speech recognition accuracy. Technical Report RC 13121, IBM T.J. Watson Research Center, 1987.

[Bourlard et al., 1985]

H. Bourlard, Y. Kamp, and C. Wellekens. Speaker dependent connected speech recognition via phonemic Markov models. In International Conference on Acoustic, Speech and Signal Processing, pages 1213-1216, Tampa, 1985.

[Brown et al., 1983]

P. Brown, C. Lee, and J. Spohrer. Bayesian adaptation in speech recognition. In International Conference on Acoustic, Speech and Signal Processing, pages 761-764, Boston, 1983.

[Jelinek and Mercer, 1980]

F. Jelinek and R. Mercer. Interpolated estimation of Markov source parameters from sparse data. In E. Gelsema and L. Kanal, editors, Pattern Recognition in Practice, pages 381-397. North-Holland, Amsterdam, 1980.

[Lee et al., 1990]

C.H. Lee, C.H. Lin, and B.H. Juang. A study on speaker adpatation of continuous density HMM parameters. In International Conference on Acoustic, Speech and Signal Processing, pages 145-148, 1990.

[Lee et al., 1991]

C.H. Lee, C.H. Lin, and B.H. Juang. A study on speaker adpatation of continuous density Hidden Markov Models. IEEE Transactions on Signal Processing, 39(4):806-814, 1991.

[Leggetter and Woodland, 1994]

C.J. Leggetter and P.C. Woodland. Speaker adaptation of continuous density HMMs using multivariate linear regression. In International Conference on Spoken Language Processing, pages 451-454, Yokohama, 1994.

[Levinson et al., 1983]

S. Levinson, R. Rabiner, and M. Sondhi. An introduction to the application of the theory of probabilistic functions of a Markov process to automatic speech recognition. Bell Systems Technical Journal, 62:1035-1074, 1983.

[Liporace, 1982]

L. Liporace. Maximum likelihood estimation for multivariate observation of Markov sources. IEEE Transactions on Information Theory, IT-28:729-734, 1982.

[Poritz, 1988]

A. Poritz. Hidden Markov Models: a guided tour. In International Conference on Acoustic, Speech and Signal Processing, pages 7-13, 1988.

[Prat, 1995]

F. Prat. Distorsión estocástica de cadenas de símbolos mediante dos métodos basados en modelos de Markov ocultos. Research report, Universidad Politécnica de Valencia, 1995.

[Rabiner and Juang, 1986]

L. Rabiner and B. Juang. An introduction to Hidden Markov Models. IEEE Acoustic, Speech, and Signal Processing Magazine, 3(1):4-16, 1986.

[Rabiner et al., 1983]

L. Rabiner, S. Levinson, and M. Sondhi. On the application of vector quantization and Hidden Markov Models to speaker independent, isolated word recognition. Bell Systems Technical Journal, 62:1075-1105, 1983.

[Rabiner, 1989]

L. Rabiner. A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-286, 1989.