摘要
传统的倒谱平滑维纳滤波算法在求取选择性平滑范围时,噪声会对维纳增益函数的倒谱产生影响,使估计出的选择性平滑范围不正确,进而导致此传统算法在平滑掉音乐噪声的同时也影响了噪声抑制效果。为此提出了一种基于修正倒谱平滑技术改进的维纳语音增强算法,该算法先用最大似然准则估计出纯净语音的倒谱,然后在纯净语音倒谱中求取基频和共振峰的位置,进而得到选择性平滑的范围。该方法提高了选择性倒谱平滑的准确性,进而改善了传统倒谱平滑维纳滤波语音增强算法的噪声抑制效果。最后在不同的噪声场景中对传统算法和改进算法进行了仿真对比,表明该算法能够在去除噪声的同时更好地保留语音的特征结构,较好地提高了带噪语音的质量。
Because the noise w ill influence cepstrum of the gain functions when using traditional cepstrum smooth technology,it reduces the performance of noise reduction while suppressing music noise. To solve this problem, we propose a modified cepstrum smooth technolog}^ to improve Wiener filter speech enhancement algorithm. In the proposed scheme, we compute the range of selective smooth by using the estimation of clean speech cepstrum which is obtained by maximum likelihood criterion. The proposed method modifies the accuracy of selective smoothing, therefore it improves the noise reduction performance of the traditional cepstrum smooth Wiener filter speech enhancement algorithm. Finally, we simulate the proposed algorithm and compare it with traditional algorithm in different noise scenario. The simulation results show that the proposed algorithm can well reduce the noise and reserve the speech feature structure, so it has a better quality improvement of the noisy speech than traditional algorithm.
作者
李季碧
马永保
夏杰
刘金刚
LI Jibi;MA Yongbao;XIA Jie;LIU Jingang(Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications,Chongqing 400065 , P. R. China)
出处
《重庆邮电大学学报（自然科学版）》
CSCD
北大核心
2016年第4期462-467,共6页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
国家自然科学基金项目(61501072)
重庆市教委项目(KJ130504)~~
关键词
语音增强
维纳滤波
音乐噪声
增益函数
修正倒谱平滑
speech enhancement
Wiener filter
music noise
gain functions
modified cepstrum smooth
作者简介
李季碧lijb@ cqupt.edu. cn
