Study on Robust Speech Recognition Based on Microphone
Array and Probabilistic Signal Source Modelling Techniques
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Masahide SUGIYAMA*, Hikaru DATE*, Michael COHEN*<BR>
and Kiyohiro SHIKANO**, Satoshi NAKAMURA**, Shiro ISE**
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* School of Computer Science and Engineering
The University of Aizu<BR>
Aizu-Wakamatsu, Fukushima 965-80<BR>
e-mail: sugiyama@u-aizu.ac.jp<BR>
 ** Graduate school of Information Science
Nara Institute of Science and Technology<BR>
8916-5 Takayama-machi, Ikoma-shi, Nara 630-01
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In order to achieve a more natural and microphone-free speech dialogue
system this report describes a study on robustness improvement
techniques in the acoustic part and speech processing part.  This
report explains the following three components: speech-input system,
noise control system and speech recognition system. The achievements
of this year are as follows; a baseline evaluation system of speech
recognition, preliminary evaluation of distance sensitive microphone
speech input system, additive noise and transmission distortion HMM
signal source composition, and evaluation of active noise control
using impedance control.
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Keywords: speech recognition, robustness improvement, probabilistic
signal model, distance sensitive microphone system, active noise
control