Using beamforming in the audio source separation problem

被引:8
|
作者
Mitianoudis, N [1 ]
Davies, ME [1 ]
机构
[1] Univ London Queen Mary Coll, DSP Grp, London E1 4NS, England
来源
SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 2, PROCEEDINGS | 2003年
关键词
D O I
10.1109/ISSPA.2003.1224822
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The problem of separating audio sources observed in a real room environment is a very challenging task, also known as the cock-tail party problem. Much work has been presented on audio separation, even in cases of high reverb. However, various problems remain unsolved in a real-world scenario. In this paper, the authors review proposed solutions employing Independent Component analysis (ICA), discussing possible solutions to various problems that arise during the analysis (i.e. the permutation problem). In particular, the use of beamforming techniques in parallel with the ICA framework is discussed. Finally, some of the open problems in audio source separation are considered.
引用
收藏
页码:89 / 92
页数:4
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