Detection and Separation of Speech Event Using Audio and Video Information Fusion and Its Application to Robust Speech Interface

Detection and Separation of Speech Event Using Audio and Video Information Fusion and Its Application to Robust Speech Interface

A method of detecting speech events in a multiple-sound-source condition using audio and video information is proposed. For detecting speech events, sound localization using a microphone array and human tracking by stereo vision is combined by a Bayesian network. From the inference results of the Ba...

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Bibliographic Details
Main Authors: Futoshi Asano, Kiyoshi Yamamoto, Isao Hara, Jun Ogata, Takashi Yoshimura, Yoichi Motomura, Naoyuki Ichimura, Hideki Asoh
Format: Article
Language:English
Published: SpringerOpen 2004-09-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
information fusion
sound localization
human tracking
adaptive beamformer
speech recognition.
Online Access:http://dx.doi.org/10.1155/S1110865704402303

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