DocumentCode :
3499759
Title :
Noise robust hands-free speech recognition using microphone array and Kalman filter as front-end system of conversational TV
Author :
Fujimoto, M. ; Ariki, Y.
Author_Institution :
Dept. of Electron. & Informatics, Ryukoku Univ., Shiga, Japan
fYear :
2002
fDate :
9-11 Dec. 2002
Firstpage :
268
Lastpage :
271
Abstract :
In this paper, we investigate hands-free speech recognition as 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 are estimated by using a microphone array and the desired signal is enhanced by beam forming. Then, the user utterance section is detected automatically from continuously observed signal. Furthermore, by applying the noise reduction and noise adaptation, the enhanced speech signal is recognized accurately.
Keywords :
Kalman filters; acoustic transducer arrays; acoustoelectric transducers; array signal processing; interactive television; microphones; speech recognition; speech-based user interfaces; DOA estimation; Kalman filter; MLLR; beam forming; conversational TV; front-end system; information retrieval; maximum likelihood linear regression; microphone array; natural machine conversation; noise adaptation; noise reduction; noise robust hands-free speech recognition; television; user utterance section; Automatic speech recognition; Direction of arrival estimation; Information retrieval; Internet; Microphone arrays; Noise reduction; Noise robustness; Speech enhancement; Speech recognition; TV broadcasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 2002 IEEE Workshop on
Print_ISBN :
0-7803-7713-3
Type :
conf
DOI :
10.1109/MMSP.2002.1203297
Filename :
1203297
Link To Document :
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