改进信号子空间结合维纳滤波的语音增强算法  

Speech Enhancement Algorithm Based on Improved Signal Subspace Combined with Wiener Filtering

作　　者：曾明如[1] 肖爱民 曾佳欣 习露 

机构地区：[1]南昌大学信息工程学院,南昌330031 [2]南昌工学院电气与信息学院,南昌330108

出　　处：《科学技术与工程》2018年第3期74-78,共5页Science Technology and Engineering

基　　金：国家自然科学基金(614663032);江西省科技厅项目(20141BBA10035)资助

摘　　要：针对现有语音增强算法噪声残留和语音失真,不能同时达到最小这一问题,提出了一种改进的信号子空间结合维纳滤波法,进行两级语音增强。第一级利用听觉掩蔽参数改进信号子空间的增益矩阵,经处理后,可以有效降低语音失真度,并初步提高信噪比。然后利用维纳滤波算法对增强后的语音信号进行加强。实验结果表明,相比传统的信号子空间算法、维纳滤波算法,可以有效地减少语音信号中的残留噪声、降低语音信号的失真度、提升语音信号的整体质量。Aiming at the problem that noise residual and speech distortion can＇t reach the minimum at the same time,an improved signal subspace combined was proposed with Wiener filter for two-level speech enhancement.The first stage uses the auditory masking parameter to improve the gain matrix of the signal subspace. After processing,it can effectively reduce the speech distortion and improve the signal to noise ratio. And then the Wiener filter algorithm was used to enhance the enhanced speech signal. The experimental results show that compared with the traditional signal subspace algorithm and Wiener filter algorithm,this algorithm can effectively reduce the residual noise in the speech signal,reduce the distortion of the speech signal and improve the overall quality of the speech signal.

关 键 词：语音增强 信号子空间 维纳滤波 听觉掩蔽 

分 类 号：TP391.42[自动化与计算机技术—计算机应用技术]