Speech Enhancement Algorithm Based on Improved Spectral Subtraction

摘要：

To improve the enhancement effect of noisy speech signals, this paper presents and analyses a new speech enhancement algorithm based on improved spectral subtraction. In contrast to the standard spectral subtraction algorithm, the new algorithm accurately estimates the noise according to that the amplitude spectral of narrowband white Gaussian noise obeys Rayleigh distribution, based on that all noise can be changed into Additive White Gaussian Noise (AWGN). This algorithm also adopts a new speech activity detection technology based on frequency band variance to detect speech activity. The emulational analyse indicates that the algorithm in this paper is better suit for noise elimination than standard spectral subtraction.

关键词： speech enhancement spectral subtraction A WGN Rayleigh distribution speech activity detection

作者: Liuyang Gao Yunfei Guo Shaomei Li Fucai Chen

作者单位: National Digital Switching System Engineering & Technological R&D Center Zhengzhou 450002 China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 1955-1958

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）