Tracking human speech events using a particle filter

被引：0
作者：
Asoh, H [1 ]
Hara, L [1 ]
Asano, F [1 ]
Yamamoto, K [1 ]
机构：
[1] AIST, Tsukuba, Ibaraki 3058568, Japan
来源：
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A method of detecting and tracking moving human speech events by integrating audio and video signals using a particle filter is proposed and evaluated. Using the particle filter, location, on/off status, and human/non-human determination can be estimated simultaneously for multiple sound sources. Experiments demonstrate that the proposed method performs well for the data obtained in an ordinary meeting room using a microphone array and a monocular camera.
引用
收藏
页码：1153 / 1156
页数：4
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