基于听觉小波包自适应语音增强方法  

An Adaptive Speech Enhancement Method Based on Hearing Wavelet Packet Transformation

作　　者：陈春辉[1] 冯刚[1] 

机构地区：[1]华南师范大学计算机学院,广东广州510631

出　　处：《华南师范大学学报（自然科学版）》2013年第2期55-59,共5页Journal of South China Normal University(Natural Science Edition)

基　　金：国家自然科学基金项目(61102065)

摘　　要：建立了听觉模型的小波包,考察了传统小波分析的软硬阈值与Donoho提出的小波阈值之间的关系,提出了一种新的自适应动态阈值的计算方法.结果证明,该算法不仅较好地解决了音乐噪声的问题,而且其语音增强效果具有更高的清晰度和可懂度.An auditory model based on wavelet packet is established. The relationship between the sott and hard thresholds of the traditional wavelet analysis is discussed. A new adaptive dynamic threshold calculation method is proposed according to the relationship among wavelet thresholds that Donoho introduced. Experimental results show that the algorithm deal with the problems of music noise better and the speech enhancement effect is also better than the traditional algorithms regarding to the clarity and the intelligibility.

关 键 词：听觉掩蔽 小波包 阈值 语音增强 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]