Improved Kalman Filter-Based Speech Enhancement with Perceptual Post-Filtering  

作　　者：WEIJianqiang DULimin YANZhaoli ZENGHui 

机构地区：[1]InstituteofAcoustics,ChineseAcademyofSciences,Beijing100080,China

出　　处：《Chinese Journal of Electronics》2004年第2期300-304,共5页电子学报（英文版）

摘　　要：In this paper, a Kalman filter-based speech enhancement algorithm with some improvements of previous work is presented. A new technique based on spectral subtraction is used for separation speech and noise characteristics from noisy speech and for the computation of speech and noise Autoregressive (AR) parameters. In order to obtain a Kalman filter output with high audible quality, a perceptual post-filter is placed at the output of the Kalman filter to smooth the enhanced speech spectra.Extensive experiments indicate that this newly proposed method works well.

关 键 词：卡尔曼滤波器 语音增强 频谱减少 噪音分离 

分 类 号：TN912.35[电子电信—通信与信息系统]