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Adaptive stream reliability modeling based on local dispersion measures for audio visual speech recognition
文献类型:会议
作者:Xie, Lei[1]  Zhao, Rong-Chun[2]  Liu, Zhi-Qiang[3]  
机构:[1]Center for Media Technology, School of Creative Media, City University of Hong Kong, Kowloon, Hong Kong |School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China
[2]School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China
[3]Center for Media Technology, School of Creative Media, City University of Hong Kong, Kowloon, Hong Kong
年:2005
通讯作者:Xie, L.(xielei@cityu.edu.hk)
会议名称:International Conference on Machine Learning and Cybernetics, ICMLC 2005
页码范围:4852-4857
会议地点:Guangzhou, China
会议开始日期:2005-08-18
会议结束日期:2005-08-21
收录情况:EI(2005509539586)  
所属部门:计算机学院
人气指数:1828
浏览次数:1804
语言:外文
摘要:
This paper proposes an adaptive stream reliability modeling technique for audio visual speech recognition (AVSR). As recognition conditions vary locally, we present two local measures - frame and window dispersions to depict the temporal discriminative powers and noise levels of both audio and visual streams. The dispersions are subsequently mapped to stream exponents according to the minimum classification error (MCE) criterion. Experiments on a connected-digits task show that our method consis ...More
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