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Dual-microphone based binary mask estimation for robust speaker verification
文献类型:会议
作者:Zhao, Yali[1]  Fu, Zhong-Hua[2]  Xie, Lei[3]  Zhang, Jian[4]  Zhang, Yanning[5]  
机构:[1]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
[2]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
[3]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
[4]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
[5]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
年:2012
通讯作者:Zhao, Y.(ylzhao@nwpu-aslp.org)
会议名称:2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012
页码范围:1014-1019
会议地点:Shanghai, China
会议开始日期:2012-07-16
会议结束日期:2012-07-18
收录情况:EI(20130315907322)  
所属部门:计算机学院
人气指数:3583
浏览次数:3544
语言:外文
摘要:
Missing feature theory (MFT) has shown great potential for robust speaker recognition in noisy environments. Accurate estimation of binary mask is crucial in MFT-based speaker recognition. This paper addresses the speaker verification problem using MFT in a practical scenario: the location of target speaker is fixed while the locations of noise interferences are unknown. Specifically, we propose a dual-microphone semi-blind approach to estimate the binary mask. During system initialization, a sp ...More
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