基于听觉小波包自适应语音增强方法

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．实验证明，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也比传统的算法具有更高的清晰度和可懂度．

Adaptive speech enhancement method based on hearing wavelet packet transforms

An auditory model based on wavelet packet is established. The relationship between the soft and hard threshold 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.