@inproceedings{5b2c751598f4463c9826c9fc91638bb5,
title = "An environment-adaptation based binaural localization method",
abstract = "The degrading effect of reverberation on automatic sound localization is a challenging problem for many intelligent applications. Motivated by the environment-adaption ability of human auditory system, we modified the previous model by introducing the phase of room classification. 4 room types representing reverberation time from 0.32 to 0.89 s were used to evaluate the performance of the new method, and the result showed the localization accuracy could be improve about 1%–9%, depending on the sound location. The limitation and the further work of the method is analyzed and discussed.",
keywords = "Binaural localization, Environment-adaptation, Reverberation",
author = "Tao Song and Jing Chen",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 8th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2018 ; Conference date: 18-08-2018 Through 19-08-2018",
year = "2018",
doi = "10.1007/978-3-030-02698-1_4",
language = "English",
isbn = "9783030026974",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "35--43",
editor = "Kai Yu and Yuxin Peng and Xingpeng Jiang and Jiwen Lu",
booktitle = "Intelligence Science and Big Data Engineering - 8th International Conference, IScIDE 2018, Revised Selected Papers",
address = "Germany",
}