Recognition of visual speech elements using adaptively boosted hidden Markov models

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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Bibliographic Details
Main Authors: Foo, Say Wei, Lian, Yong, Dong, Liang
Format: Journal Article
Language:English
Published: 2009
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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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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