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...
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| Main Authors: | , |
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| 其他作者: | |
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2009
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| 在線閱讀: | https://hdl.handle.net/10356/90829 http://hdl.handle.net/10220/4617 |
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| 機構: | Nanyang Technological University |
| 語言: | English |