文件名称：SOUND SOURCE LOCALIZATION BASED ON DEEP NEURAL NETWORKS WITH DIRECTIONAL ACTIVATE FUNCTION EXPLOITING PHASE INFORMATION
文件大小：5.86MB
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更新时间：2022-09-16 08:42:25
sound deep learning SSL Localization
This paper describes sound source localization (SSL) based on deep neural networks (DNNs) using discriminative training. A na¨ıve DNNs for SSL can be configured as follows. Input is the frequency-domain feature used in other SSL methods, and the structure of DNNs is a fully-connected network using real numbers. The training fails because its network structure loses two important properties, i.e., the orthogonality of sub-bands and the intensity- and time-information saved in complex numbers. We solved these two problems by 1) integrating directional information at each sub-band hierarchically, and 2) designing a directional activator that could treat the complex numbers at each sub-band. Our experiments indicated that our method outperformed the na¨ıve DNN-based SSL by 20 points in terms of the block-level accuracy