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Exploiting the directional coherence function for multichannel source extraction

文献类型：期刊论文

作者Liang, Shan1; Li, Guanjun1,3; Nie, Shuai1; Yang, ZhanLei2; Liu, WenJu1; Tao, Jianhua1
刊名SPEECH COMMUNICATION
出版日期2021-04-01
卷号128页码:1-14
关键词Directional coherence function Coherent-to-Diffuse Ratio General sidelobe canceller Desired Speech Presence Probability
ISSN号0167-6393
DOI10.1016/j.specom.2021.01.002
通讯作者Liu, WenJu(lwj@nlpr.ia.ac.cn)
英文摘要The desired speech detector plays an important role for controlling the speech distortion in spatial filtering based speech enhancement algorithms. However, the conventional complex coherence(CC) based algorithms can only distinguish the coherent speech and diffuse noise. To improve the performance on the scenarios that both the coherent interference and diffuse noise are present, we propose a directional coherence function(DCF) based detector in this paper. Based on a pair of complementary filters which can suppress the diffuse noise and the coherent interference respectively, the DCF is computed as the normalized correlation between the filters? outputs. Meanwhile, the filters are solved by convex programming method and satisfy the constraints on speech distortionless and white noise gain(WNG). Consequently, the value of DCF will be close to 1 only for the desired speech dominated time-frequency(T-F) bins and much smaller than 1 for the noise or interference dominated T-F bins. To extract the desired speech, the DCF based Desired Speech Presence Probability(DSPP) is used to control the adaptation in general sidelobe canceler(GSC), and subsequently used as the post-filtering weight. Systematical experiments on several scenarios show that the proposed algorithm achieves significantly and consistently better noise suppression performance than the narrowband direction-of-arrival(DOA) estimates based algorithms.
资助项目National Key RD Plan of China[2016YFB1001404] ; China National Nature Science Foundation[61971419] ; China National Nature Science Foundation[61573357] ; China National Nature Science Foundation[61503382] ; China National Nature Science Foundation[61403370] ; China National Nature Science Foundation[61273267] ; China National Nature Science Foundation[91120303]
WOS研究方向Acoustics ; Computer Science
语种英语
WOS记录号WOS:000631974400001
出版者ELSEVIER
资助机构National Key RD Plan of China ; China National Nature Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/44137]  
专题模式识别国家重点实验室_智能交互
通讯作者Liu, WenJu
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit NLPR, Beijing, Peoples R China
2.Huawei Technol, Shanghai, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Liang, Shan,Li, Guanjun,Nie, Shuai,et al. Exploiting the directional coherence function for multichannel source extraction[J]. SPEECH COMMUNICATION,2021,128:1-14.
APA Liang, Shan,Li, Guanjun,Nie, Shuai,Yang, ZhanLei,Liu, WenJu,&Tao, Jianhua.(2021).Exploiting the directional coherence function for multichannel source extraction.SPEECH COMMUNICATION,128,1-14.
MLA Liang, Shan,et al."Exploiting the directional coherence function for multichannel source extraction".SPEECH COMMUNICATION 128(2021):1-14.

入库方式： OAI收割

来源：自动化研究所

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