Microphone array speech enhancement by Bayesian estimation of spectral amplitude and phase

被引：33
|
作者：
Balan, R [1 ]
Rosca, J [1 ]
机构：
[1] Siemens Corp Res, Multimedia & Video Technol Dept, Princeton, NJ 08540 USA
来源：
SAM2002: IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP PROCEEDINGS | 2002年
关键词：
D O I：
10.1109/SAM.2002.1191030
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Microphone arrays provide new opportunities for noise reduction and speech enhancement. This paper presents a novel decomposition of the estimation problems for short-time spectral amplitude (STSA), log STSA, and phase in the Bayesian estimation framework. The decomposition is based on the notion of sufficient statistics for the microphone array case. It nicely generalizes the well-known single-channel Ephraim-Malah estimators [4, 5] to the microphone array case. We also compare noise reduction obtained in the single channel with the two- and four-channel cases on real data.
引用
收藏
页码：209 / 213
页数：5
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