Presentation	1999/12/20 Hands-Free Speech Recognition in Real Environments Satoshi NAKAMURA,
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Abstract(in English)	Hands-free speech recognition is avery important for a natural human machine interface. The distant-talking speech in real environments is distorted by noise and reverberation of the room. The paper tries to give a prospect of the solution based on previous studies and our research efforts. Especially a microphone array based-method and a model adaptation method are discussed. The microphone array can reduce the influences of the environmental noises by beam-forming. On the other hand, the model adaptation method can estimate the acoustical transfer function and adapt the speech models against the distorted observation signals. Furthermore, this paper also addresses the project collecting research acoustic data for hands-free sound recognition which includes many kinds of dry sounds and impulse responses in real rooms.
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Paper #	NLC99-44
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Conference Information
Committee	NLC
Conference Date	1999/12/20(1days)
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Paper Information
Registration To	Natural Language Understanding and Models of Communication (NLC)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Hands-Free Speech Recognition in Real Environments
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1st Author's Name	Satoshi NAKAMURA
1st Author's Affiliation	()
Date	1999/12/20
Paper #	NLC99-44
Volume (vol)	vol.99
Number (no)	523
Page	pp.pp.-
#Pages	6
Date of Issue