基于非因果先验信噪比估计的语音增强改进算法  

Improved Speech Enhancement Algorithm Based on Noncausal a Priori SNR Estimation

作　　者：杨波[1] 王新房[1] 

机构地区：[1]西安理工大学自动化与信息工程学院,西安710048

出　　处：《计算机系统应用》2012年第7期200-202,176,共4页Computer Systems & Applications

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。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.

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 

分 类 号：TN912.35[电子电信—通信与信息系统]