Recognition of visual speech elements using adaptively boosted hidden Markov models
The performance of automatic speech recognition (ASR) system can be significantly enhanced with additional information from visual speech elements such as the movement of lips, tongue, and teeth, especially under noisy environment. In this paper, a novel approach for recognition of vis...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2009
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| Online Access: | https://hdl.handle.net/10356/91495 http://hdl.handle.net/10220/4584 http://sfxna09.hosted.exlibrisgroup.com:3410/ntu/sfxlcl3?sid=metalib:EVII&id=doi:10.1109/TCSVT.2004.826773&genre=&isbn=&issn=10518215&date=2004&volume=14&issue=5&spage=693&epage=705&aulast=Foo&aufirst=%20Say%20Wei&auinit=&title=IEEE%20Transactions%20on%20Circuits%20and%20Systems%20for%20Video%20Technology&atitle=Recognition%20of%20visual%20speech%20elements%20using%20adaptively%20boosted%20hidden%20markov%20models |
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| Institution: | Nanyang Technological University |
| Language: | English |