Differences in sound-source localization in reverberant environments that depend on stimulus-type and mode of presentation

2021 ◽  
Vol 150 (4) ◽  
pp. A305-A305
Author(s):  
M. Torben Pastore ◽  
Yi Zhou ◽  
Jonas Braasch ◽  
William A. Yost
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 7373-7382
Author(s):  
Ran Lee ◽  
Min-Seok Kang ◽  
Bo-Hyun Kim ◽  
Kang-Ho Park ◽  
Sung Q Lee ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yuzhuo Fang ◽  
Zhiyong Xu

A multiple sound source localization and counting method based on an angular spectrum is proposed in this paper. Local signal-to-noise ratio tracking, onset detection, and a coherence test are introduced to filter the generalized cross-correlation angular spectrum in the time-frequency domain for multiple sound source localization and counting in noisy and reverberant environments. Then, dual-width matching pursuit is introduced to replace peak search as the method of localization and counting. A comprehensive comparison of two statistical indicators, mean precision and mean absolute estimated error, indicates that the proposed localization and counting algorithm using both the filtered angular spectrum and dual-width matching pursuit method is more robust and accurate than the classic counterpart, especially in environments with low signal-to-noise ratio, strong reverberation, and abundant sound sources.


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