压缩感知与EMD相结合的带噪面罩语音增强

摘要

For the problem of low intelligibility and intelligibility of noisy mask speech, a method combining compressed sensing and Empirical Mode Decomposition(EMD)is proposed to enhance the performance of noisy mask speech. Firstly, the noisy mask speech is decomposed by EMD to obtain the intrinsic mode function signal components, and specific intrin-sic mode component are denoised by wavelet threshold. Then all signal components are compressed sensing and recon-structed to enhance the noisy mask speech. The experimental results show that the proposed method has good denoising effect, small reconstruction error and high stability, and effectively realizes the enhancement of mask speech.%针对带噪面罩语音清晰度和可懂度低的问题,提出了一种将压缩感知和经验模式分解(Empirical Mode Decomposition,EMD)相结合的方法来对带噪面罩语音进行增强.首先对带噪面罩语音进行EMD分解得到其本征模式函数信号分量,对其特定本征模式分量进行小波阈值去噪;然后对全部信号分量进行压缩感知,最后重构信号分量得到增强后面罩语音.由实验结果可知,文中提出的方法去噪效果较好,重构误差较小,稳定性较高,有效地实现了面罩语音的增强.