文章基本信息

标题：Spectral Subtraction for Speech Enhancement in Modulation Domain
本地全文：下载
作者：Muhammad Tariq Sadiq ; Noman Shabbir ; Wlodek J. Kulesza 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2013
卷号：10
期号：4
出版社：IJCSI Press
摘要：In this paper, an enhancement method is proposed for a speech signal that is corrupted by background noise. The proposed method is based on the spectral subtraction technique. The conventional spectral subtraction method improves the quality of the signal by reducing noise but it introduces an annoying musical noise. To eliminate the musical noise, spectral subtraction method in modulation domain is proposed. A filter bank, the heart of modulation domain, splits the broadband signal into several sub-bands. Then Instantaneous Frequency (IF) carrier estimator technique is used to estimate the carrier and modulating signal of each sub-band. Implementing spectral subtraction on each modulating signal and by synthesizing signals at the output, we get the enhanced speech signal without musical noise. Both qualitative (listening tests) quantitative tests were performed to determinate the intelligibility and quality of speech enhanced by the proposed method.
关键词：Speech Enhancement; Spectral Subtraction; Modulation domain; Noise Removal