基于实值离散Gabor变换的维纳滤波语音增强方法离散傅里叶反变换.doc

基于实值离散Gabor变换的维纳滤波语音增强方法离散傅里叶反变换.doc【基于实值离散Gabor变换的维纳滤波语音增强方法】离散傅里叶反变换
摘要：提出了一个新的基于实值离散Gabor变换的维纳滤波语音增强方法，采用高斯窗作为综合窗，利用已有的快速实值离散Gabor变换将语音变换到时频域，然后在联合时频域，采用维纳滤波进行纯净语音的最小均方误差下的最优估计，先验信噪比采用“直接判决”算法，在得到语音增强信号的估计分量后，利用实值离散Gabor逆变换将其还原输出。实验结果表明，在分段信噪比和语音质量评价方面均与经典的维纳滤波方法相比均有提高。关键词：实值离散Gabor变换；噪声估计；维纳滤波；语音增强中图分类号：TP391文献标识码：A文章编号：1009-3044(20)17-4231-04Speech Enhacement Approach Based on Real-value Discrete Gabor Transform and Spectral SubtractionZHANG Man, ZHOU Jian(MOE Key Laboratory of Intelligence Computing and Signal Processing, Anhui University, Hefei 230039, China)Abstract: In this paper, we porpose a novel speeeh enhancement method based on Real-value Discrete Gabor Transform，noisy speech is transformed to the joint time-frequency by fast Real-value Discrete Gabor Transform in which the Gaussin is used as the transform kernel function,Optimal pure speech signal estimation under the minimum mean square error based on Wiener filter , a priori SNR got by deci? sion-directed algorithm, the clean speech is got by inverse transform by Real-value Discrete Gabor results show that this method enhances the segSNR and improves the speech quality compare other classical alogorithm of wiener words: mReal-value Discrete Gabor Transform; noise estimate; Wiener filter; speech enhacement现实世界中，语音信号很难避免受到各种噪声源的污染，语音增强的一个主要目的就是从带噪信号中尽可能的恢复出纯净语音信号。语音增强技术在语音识别、语音编码和人机语音交互等语音处理领域中发挥着重要作