Structural Bayesian Linear Regression for Hidden Markov Models

Author： Watanabe Shinji Nakamura Atsushi Juang Biing-Hwang

ISSN： 1939-8018

Source： Journal of Signal Processing Systems, Vol.74, Iss.3, 2014-03, pp. : 341-358

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models

By Leggetter C.J. Woodland P.C.

Computer Speech & Language, Vol. 9, Iss. 2, 1995-04 ,pp. : 171-185

Academic Press

Access to resources Recommend Favorite

Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs

By Bouchaffra D. Tan J.

Data Mining and Knowledge Discovery, Vol. 12, Iss. 1, 2006-01 ,pp. : 79-96

Springer Publishing Company

Access to resources Recommend Favorite

Factorial Hidden Markov Models

By Ghahramani Z.

Machine Learning, Vol. 29, Iss. 2-3, 1997-11 ,pp. : 245-273

Springer Publishing Company

Access to resources Recommend Favorite

Combined Bayesian and predictive techniques for rapid speaker adaptation of continuous density hidden Markov models

By Ahadi S.M. Woodland P.C.

Computer Speech & Language, Vol. 11, Iss. 3, 1997-08 ,pp. : 187-206

Academic Press

Access to resources Recommend Favorite

Private predictions on hidden Markov models

By Polat Huseyin

Artificial Intelligence Review, Vol. 34, Iss. 1, 2010-06 ,pp. : 53-72

Springer Publishing Company

Access to resources Recommend Favorite