面向无线电侦听的语音降噪方法

A Speech Denoising Method for Radio Interception

针对侦听条件下获取到的无线电语音信号的特点,提出一种单通道数字语音降噪方法。受人类听觉系统和人脑神经网络的启发,该方法将计算场景分析与深度学习进行结合,对侦听到的含噪无线电语音信号实现降噪处理。在公开数据库上和真实侦听数据上分别进行实验,并采用客观性能指标和主观谱图分析的方式与其它方法进行对比,验证方法的有效性。

In this paper,a mono-channel digital speech denoising method is proposed in accordance with the characteristics of speech signal acquired by radio interception. By combining computational auditory scene analysis（ CASA） and deep learning,this method denoises the speech signal. Experiments are conducted on both an open dataset and intercepted radio data. The performance of the proposed method is evaluated by objective measures and subjective spectrum comparing to other methods.