Tracking human speech events using a particle filter
Tracking human speech events using a particle filter
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DOI：
10.1109/icassp.2005.1415614
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发表时间：
2005-03
期刊：
影响因子：
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通讯作者：
H. Asoh;Isao Hara;F. Asano;Kiyoshi Yamamoto
中科院分区：
文献类型：
--
作者：
H. Asoh;Isao Hara;F. Asano;Kiyoshi Yamamoto
提出并评估了一种通过使用粒子滤波器集成音频和视频信号来检测和跟踪移动人类语音事件的方法。使用粒子滤波器，可以同时估计多个声源的位置、开/关状态以及人类/非人类确定。实验表明，该方法对于使用麦克风阵列和单目摄像头在普通会议室获得的数据表现良好。
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.