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

页码：1153 / 1156

页数：4

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