J. Ding, J. Wang, C. Zheng, R. Peng, and X. Li, “Analysis of Binaural Features for Supervised Localization in Reverberant Environments,” in Proc. AES Convention 141, Sep. 2016, Paper 9642. [Online]. Available: https://aes.org/publications/elibrary-page/?id=18446
Ding J, Wang J, Zheng C, Peng R, Li X. Analysis of Binaural Features for Supervised Localization in Reverberant Environments. In: AES Convention 141. Audio Engineering Society; 2016. Paper 9642. Available from: https://aes.org/publications/elibrary-page/?id=18446
@inproceedings{Ding2016_18446,
author = {Ding, Jiance and Wang, Jie and Zheng, Chengshi and Peng, Renhua and Li, Xiaodong},
title = {{Analysis of Binaural Features for Supervised Localization in Reverberant Environments}},
booktitle = {AES Convention 141},
note = {Paper 9642},
year = {2016},
month = sep,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=18446}
}
TY - CPAPER
TI - Analysis of Binaural Features for Supervised Localization in Reverberant Environments
AU - Ding, Jiance
AU - Wang, Jie
AU - Zheng, Chengshi
AU - Peng, Renhua
AU - Li, Xiaodong
T2 - AES Convention 141
M1 - Paper 9642
PY - 2016
DA - 2016/09/06
UR - https://aes.org/publications/elibrary-page/?id=18446
PB - Audio Engineering Society
LA - en
AB - Recent research on supervised binaural sound source localization methods shows that the performance is promising even in reverberant environments when the training and testing environments can match perfectly. However, these supervised methods may still suffer somewhat performance degradation when the intensity of the reverberation increases markedly. This paper studies the impact of reverberation on binaural features theoretically. This study reveals that reverberation is a major factor in reducing the accuracy of supervised binaural localization. Accordingly, we use a binaural dereverberation algorithm to reduce the effect of reverberation and thus to improve the performance of the existing supervised binaural localization methods. Experimental results demonstrate that dereverberation can improve the localization accuracy of these supervised binaural localization methods in reverberant environments.
ER -
