A two-channel training algorithm for hidden Markov model to identify visual speech elements

A two-channel training algorithm for hidden Markov model to identify visual speech elements

A novel two-channel algorithm is proposed in this paper for discriminative training of Hidden Markov Models (HMMs). It adjusts the symbol emission coefficients of an existing HMM to maximize the separable distance between a pair of confusable training samples. The method is applied to identify the v...

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Bibliographic Details
Main Authors: Foo, Say Wei, Yong, Lian, Dong, Liang
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:https://hdl.handle.net/10356/90658
http://hdl.handle.net/10220/5843

Internet

https://hdl.handle.net/10356/90658
http://hdl.handle.net/10220/5843

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