Variational inference and learning for segmental switching state space models of hidden speech dynamics - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Leo J. Lee, Hagai Attias, Li Deng. Variational inference and learning for segmental switching state space models of hidden speech dynamics. In 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '03, Hong Kong, April 6-10, 2003. pages 872-875, IEEE, 2003. [doi]

The following publications are possibly variants of this publication:

Bayesian learning for hidden Markov model with Gaussian mixture state observation densitiesJean-Luc Gauvain, Chin-Hui Lee. speech, 11(2-3):205-213, 1992. [doi]

A multimodal variational approach to learning and inference in switching state space models [speech processing application]Leo J. Lee, Hagai Attias, Li Deng, Paul W. Fieguth. icassp 2004: 505-508 [doi]

A state-space model with neural-network prediction for recovering vocal tract resonances in fluent speech from Mel-cepstral coefficientsRoberto Togneri, Li Deng. speech, 48(8):971-988, 2006. [doi]

runs on WebDSL