Presentation 2002/4/19
A Study on Noise Robust Hands-Free Speech Recognition Using Microphone Array and Kalman Filter
Masakiyo FUJIMOTO, Yasuo ARIKI,
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Abstract(in English) In this paper, we investigate hands-free speech recognition as a front-end system of conversational TV. The conversational TV is one of machine conversation systems to retrieve the interesting information by inquiring it to the TV. To realize the natural machine conversation without consciousness of microphone, hands-free speech recognition is required. In the hands-free speech recognition system, the directions of the arriving signal is estimated by using a microphone array and the desired signal is enhanced by beam forming. Then, the voice activity region is detected automatically from continuously observed signal. Furthermore, by applying the noise reduction and noise adaptation, the enhanced speech signal is recognized accurately.
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Keyword(in English) conversational TV / hands-free speech recognition / microphone array / Kalman filter / voice activity detector
Paper # EA2002-9
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Committee EA
Conference Date 2002/4/19(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Noise Robust Hands-Free Speech Recognition Using Microphone Array and Kalman Filter
Sub Title (in English)
Keyword(1) conversational TV
Keyword(2) hands-free speech recognition
Keyword(3) microphone array
Keyword(4) Kalman filter
Keyword(5) voice activity detector
1st Author's Name Masakiyo FUJIMOTO
1st Author's Affiliation Faculty of Science and Technology, Ryukoku University()
2nd Author's Name Yasuo ARIKI
2nd Author's Affiliation Faculty of Science and Technology, Ryukoku University
Date 2002/4/19
Paper # EA2002-9
Volume (vol) vol.102
Number (no) 33
Page pp.pp.-
#Pages 6
Date of Issue