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Received:October 11, 2011 Revised:November 17, 2011
Received:October 11, 2011 Revised:November 17, 2011
中文摘要: 为提高MMSE-LSA语音增强算法在低信噪比下的语音增强效果,提出一种改进的MMSE-LSA算法。该算法采用非因果先验信噪比估计法来估计先验信噪比,并引入无语音概率的思想,对增益函数进行改进。实验结果表明,相比传统MMSE-LSA算法,改进算法能更好地抑制残留噪声,提高语音的信噪比,增强效果更好。
中文关键词: 语音增强 非因果先验信噪比估计 无语音概率 增益函数
Abstract:To improve the effect of MMSE-LSA speech enhancement algorithm at low signal-to-noise ratio(SNR), this paper proposes an improved MMSE-LSA algorithm, which uses noncausal estimation for a priori SNR, and introduces a knowledge of speech absence probability so as to modify gain function from MMSE-LSA. Experimental results show that the proposed algorithm is better than traditional MMSE-LSA algorithm in residual noise suppression and SNR improvement.
keywords: speech enhancement noncausal a priori SNR estimation speech absence probability gain function
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杨波,王新房.基于非因果先验信噪比估计的语音增强改进算法.计算机系统应用,2012,21(7):200-202,176
YANG Bo,WANG Xin-Fang.Improved Speech Enhancement Algorithm Based on Noncausal a Priori SNR Estimation.COMPUTER SYSTEMS APPLICATIONS,2012,21(7):200-202,176
杨波,王新房.基于非因果先验信噪比估计的语音增强改进算法.计算机系统应用,2012,21(7):200-202,176
YANG Bo,WANG Xin-Fang.Improved Speech Enhancement Algorithm Based on Noncausal a Priori SNR Estimation.COMPUTER SYSTEMS APPLICATIONS,2012,21(7):200-202,176
