%0 Journal Article
%T A Method Based on Fractional Spectral Subtraction for Speech Enhancement<br>基于分数阶谱相减的语音增强法
%A Wang Zhen-li
%A Zhang Xiong-wei
%A <br>王振力
%A 张雄伟
%J 电子与信息学报
%D 2007
%I 
%X A method based on fractional spectral subtraction for speech enhancement (FSS) is proposed. It applies FRFT (FRactional Fourier Transform) to noisy speech, the estimated fractional noise spectrum is then subtracted from the derived fractional speech-noise spectrum. Finally, the denoised speech is obtained by inverse fractional Fourier transform. Theory analysis indicates that the new method can find an optimal fractional order, which can best separate speech for noisy data in the fractional Fourier domain. The result is that the performance of the enhanced speech is effectively improved. Computer simulation shows that the SNR improvement amount and Itakura distance decrease amount of the proposed method are superior to those of Spectral Subtraction (SS) for male/female speech corrupted by additive white Gaussian noise. In addition, the music noise of the enhanced speech is remarkably suppressed.
%K FRFT (FRactional Fourier Transform)
%K Speech enhancement
%K Spectral Subtraction (SS)
%K Music noise<br>分数阶傅里叶变换
%K 语音增强
%K 谱相减
%K 音乐噪声
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=B9F372B1F7D3D3F4&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=94C357A881DFC066&sid=BE1F29C193C78397&eid=D7B9DD9E919B6180&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=32