A supervised two-channel learning method for hidden Markov model and application on lip reading
In this paper, a novel two-channel learning method for hidden Markov model (HMM) is proposed. This method is specially designed to train HMMs for fine recognition from similar observations. The prominent features of this method are 1.) the criterion function is based on the difference between trai...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2009
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| Online Access: | https://hdl.handle.net/10356/90829 http://hdl.handle.net/10220/4617 |