Binaural Deep Neural Network for Robust Speech Enhancement

被引：0
|
作者：
Jiang, Yi [1 ]
Liu, Runsheng [1 ]
机构：
[1] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC) | 2014年
关键词：
Deep neural network; computational auditory scene analysis (CASA); speech enhancement; binaural features; LOCALIZATION; ALGORITHM; NOISE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Robust speech enhancement is a challenge task, especially in noisy environments. The deep neural network has shown good performance on binaural speech enhancement with various speakers at a same distance. As binaural cues are based on the locations of sound sources, this paper analyze the performance of binaural deep neural network with different distances. The theoretical derivation and experiment shows, the computational auditory scene analysis based binaural deep neural network speech enhancement system has robust performance with various sound locations.
引用
收藏
页码：692 / 695
页数：4
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