REVERBERATION ROBUST TWO-MICROPHONE TARGET SIGNAL DETECTION ALGORITHM WITH COHERENT INTERFERENCE

被引:0
|
作者
Wang, Xiaofei [1 ]
Guo, Yanmeng [1 ]
Fu, Qiang [1 ]
Yan, Yonghong [1 ]
机构
[1] Chinese Acad Sci, Key Lab Speech Acoust & Content Understanding, Inst Acoust, Beijing 100190, Peoples R China
关键词
Target Signal Detection; Reverberation Robust; Speech Enhancement; Direct-to-Reverberate Ratio; SPEECH; GSC;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a reverberation robust Target Signal Detection (TSD) algorithm using two microphones is proposed. Most of traditional TSD algorithms are based on the assumption of free sound field and close-talking scene incorporate with multichannel system. They lack in achieving robustness in reverberant and noisy environment. The proposed TSD algorithm is based on Beam-to-Reference Ratio (BRR), and a novel estimator, Direct-to-Reverberate Ratio (DRR), is introduced to enlarge the basic assumption to reverberant and distanttalking scene. Spatial correlation information between microphones is used to estimate the DRR to revise threshold on each Time-Frequency (T-F) block and to form full-band likelihood using soft-decision information. Experimental results show that the proposed method performs robust in different reverberant environments with coherent interferences when target signal is from priori known direction-of-arrivals (DOA) in distant-talking scene.
引用
收藏
页码:237 / 241
页数:5
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