摘要
针对宽带噪声干扰的语音降噪问题,提出一种基于LMS自适应噪声抵消和小波阈值的语音降噪算法。该算法首先采用LMS自适应噪声抵消器对消部分噪声,得到较高信噪比的语音信号后,再对其进行小波分析,用一种新的阈值函数对信号进行降噪,再重构得到降噪后的信号。Matlab仿真实验证明,该算法的效果优于单一算法,且避免了传统谱减法带来的"音乐噪声",视觉效果、输出信噪比和均方根误差也有很大改善。
For the speech denoising disturbed with the broadband noise,a speech denoising algorithm based on LMS adaptive noise cancellation and wavelet threshold is presented. The part noise is cancelled by LMS adaptive noise canceller used in the algorithm to obtain the speech signal with higher signal to noise ratio（SNR）,and then the wavelet analysis for the signal is conducted. A new threshold function is used to denoise the single,and the denoised single is obtained by reconstruction. The experiment results of Matlab simulation show that the algorithm is better than single algorithm,and can avoid the＂musical noise＂caused by the traditional spectral subtraction. The visual effect,output SNR and root mean square error（RMSE）were improved greatly.
出处
《现代电子技术》
北大核心
2016年第3期27-29,34,共4页
Modern Electronics Technique
基金
国家自然科学基金(61261010)
