Multistream Articulatory Feature-Based Models for Visual Speech Recognition

Multistream Articulatory Feature-Based Models for Visual Speech Recognition

We study the problem of automatic visual speech recognition (VSR) using dynamic Bayesian network (DBN)-based models consisting of multiple sequences of hidden states, each corresponding to an articulatory feature (AF) such as lip opening (LO) or lip rounding (LR). A bank of discriminative articulato...

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Bibliographic Details
Main Authors: Glass, James R., Saenko, Ekaterina, Livescu, Karen, Darrell, Trevor J.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Online Access:http://hdl.handle.net/1721.1/60293
https://orcid.org/0000-0002-3097-360X

Internet

http://hdl.handle.net/1721.1/60293
https://orcid.org/0000-0002-3097-360X

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