ROBUST DUAL-CHANNEL NOISE POWER SPECTRAL DENSITY ESTIMATION

被引:0
|
作者
Jeub, Marco [1 ]
Nelke, Christoph [1 ]
Krueger, Hauke [1 ]
Beaugeant, Christophe [2 ]
Vary, Peter [1 ]
机构
[1] Rhein Westfal TH Aachen, Inst Commun Syst & Data Proc I D, Aachen, Germany
[2] Intel Mobile Commun, Sophia Antipolis, France
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we propose a novel noise power spectral density (PSD) estimator which is beneficial for speech enhancement systems with two microphones in diffuse noise environments. The algorithm has a low computational complexity and requires low memory usage. The main advantage is that arbitrary models of the noise field coherence can be employed and a scalable extension of existing single-channel speech enhancement systems to dual channels is also possible. Experiments demonstrate with simulated and measured data that the proposed algorithm outperforms related algorithms in diffuse noise conditions.
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收藏
页码:2304 / 2308
页数:5
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