A Time-Frequency Bins Selection Pipeline for Direction-of-Arrival Estimation Using a Single Acoustic Vector Sensor

doi:10.1109/JSEN.2022.3180157

	A Time-Frequency Bins Selection Pipeline for Direction-of-Arrival Estimation Using a Single Acoustic Vector Sensor
	Jianhua Geng1,2,3 ; Sifan Wang1 ; Shengyu Gao1 ; Qinglai Liu 4; Xin Lou1
	2022
发表期刊	IEEE SENSORS JOURNAL (IF:4.3[JCR-2023],4.2[5-Year])
ISSN	2379-9153
卷号	22 期号:14 页码:1-1
发表状态	已发表
DOI	10.1109/JSEN.2022.3180157
摘要	The case that multiple speakers are simultaneously active is usually regarded as adverse condition in the context of multi-source direction-of-arrival (DOA) estimation. Moreover, in adjacent sources scenarios, classifying DOA estimates by directions may merge adjacent sources and misclassify reverberation as sources, i.e., there is a mismatch between sources and reverberation. In order to address the open challenges mentioned above, this work introduces a pipeline for selecting reliable time-frequency (TF) bins and estimating multi-source DOAs using a single acoustic vector sensor (AVS). In the proposed pipeline, we show a viewpoint that the multiple simultaneously active sources condition can be exploited to select TF bins solely dominated by sources. The consistency of the distribution of intensity vectors (IVs) in multi-source scenarios is derived mathematically to support the proposed viewpoint. We address the mismatch between sources and reverberations in adjacent sources scenarios by focusing only on the direction with the highest intensity vector density (IVD), regardless of how many sources dominate the given TF window. Simulation and experimental results show that the proposed method can accurately and robustly estimate the multi-source DOAs in various scenarios.
URL	查看原文
收录类别	SCI ; SCIE ; EI
来源库	IEEE
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/206321
专题	信息科学与技术学院信息科学与技术学院_PI研究组_娄鑫组信息科学与技术学院_硕士生信息科学与技术学院_博士生
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China, 2.Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China 3.School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China 4.Temasek Laboratories, Nanyang Technological University, Singapore
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Jianhua Geng,Sifan Wang,Shengyu Gao,et al. A Time-Frequency Bins Selection Pipeline for Direction-of-Arrival Estimation Using a Single Acoustic Vector Sensor[J]. IEEE SENSORS JOURNAL,2022,22(14):1-1.
APA	Jianhua Geng,Sifan Wang,Shengyu Gao,Qinglai Liu,&Xin Lou.(2022).A Time-Frequency Bins Selection Pipeline for Direction-of-Arrival Estimation Using a Single Acoustic Vector Sensor.IEEE SENSORS JOURNAL,22(14),1-1.
MLA	Jianhua Geng,et al."A Time-Frequency Bins Selection Pipeline for Direction-of-Arrival Estimation Using a Single Acoustic Vector Sensor".IEEE SENSORS JOURNAL 22.14(2022):1-1.