基于复倒谱的单通道语音去噪

Shen Xizhong, M. Guang
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引用次数: 5

摘要

针对语音信号研究中存在的问题,提出了一种新的单通道盲去噪方法。首先,对采样的语音信号进行变长度的语音信号分割,获得相对准确的后倒谱估计,并对有效段应用复倒谱;然后,得到了房间脉冲响应的预估计,并得到了反滤波器解。最后,以反滤波器作为算法的初始参数,采用单通道盲反卷积。仿真和实验验证了该方法的有效性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Complex cepstrum based single channel speech dereverberation
A new method of blind dereverberation of single channel is proposed to solve the existing problem about the study of speech signal. Firstly, segmentation of speech signal with variant length is proposed on the sampled speech signal to obtain relatively accurate estimation of the subsequent cepstrum, and the complex cepstrum is applied to the valid segments. Then, the pre-estimation of the room impulse response is obtained, and so is the inverse-filter solution. Finally, single channel blind deconvolution is used by taking the inverse-filter as the initial parameter of the algorithm. Simulations and experiments demonstrate its validity and robusty.
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