摘要
文中提出了一种基于小波阈值和自适应噪声估计方法的语音增强算法。该算法直接利用含噪语音信号估计出信噪比SNR,并通过该值调整小波阈值,从而实现了小波阈值的自适应变化。针对噪声的小波变换模值随尺度增大而减小的特性,采用了随尺度变化的小波阈值。并且改进了小波阈值函数。实验数据表明,本文算法在多种噪声环境下,均有较好的语音增强效果。并且在抑制噪声的同时,减少了语音失真。
Speech enhancement based on adaptive noise estimation and wavelet thresholding is proposed. The wavelet thresholding in this algorithm is temporally adapted to SNR variations, which can be calculated by adaptive noise estimation. And the thresholding is varied according to the characteristics of noise wavelet tranform on the different scale. Experimental results show that the proposed method could lead to significant reduction of background nosie and speech distortion in different environments.
出处
《通信技术》
2009年第11期163-165,共3页
Communications Technology
关键词
语音增强
小波变换
噪声估计
阈值处理
speech enhancement
wavelet transform
noise estimation
thresholding
