Single-Channel Speech Enhancement Based on Improved Frame-Iterative Spectral Subtraction in the Modulation Domain  

作　　者：Chao Li Ting Jiang Sheng Wu 

机构地区：[1]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《China Communications》2021年第9期100-115,共16页中国通信（英文版）

基　　金：National Natural Science Foundation of China(NSFC)(No.61671075);Major Program of National Natural Science Foundation of China(No.61631003)。

摘　　要：Aiming at the problem of music noise introduced by classical spectral subtraction,a shorttime modulation domain(STM)spectral subtraction method has been successfully applied for singlechannel speech enhancement.However,due to the inaccurate voice activity detection(VAD),the residual music noise and enhanced performance still need to be further improved,especially in the low signal to noise ratio(SNR)scenarios.To address this issue,an improved frame iterative spectral subtraction in the STM domain(IMModSSub)is proposed.More specifically,with the inter-frame correlation,the noise subtraction is directly applied to handle the noisy signal for each frame in the STM domain.Then,the noisy signal is classified into speech or silence frames based on a predefined threshold of segmented SNR.With these classification results,a corresponding mask function is developed for noisy speech after noise subtraction.Finally,exploiting the increased sparsity of speech signal in the modulation domain,the orthogonal matching pursuit(OMP)technique is employed to the speech frames for improving the speech quality and intelligibility.The effectiveness of the proposed method is evaluated with three types of noise,including white noise,pink noise,and hfchannel noise.The obtained results show that the proposed method outperforms some established baselines at lower SNRs(-5 to +5 dB).

关 键 词：short-time modulation domain single-channel speech enhancement modulation improved frame iterative spectral subtraction low SNRs 

分 类 号：TN912.35[电子电信—通信与信息系统]