基于分数阶谱相减的语音增强法

王振力; 张雄伟

doi:10.3724/SP.J.1146.2005.01002

基于分数阶谱相减的语音增强法

doi: 10.3724/SP.J.1146.2005.01002

基金项目:

江苏省自然科学基金(BK2006001)和江苏省图像处理与图像通信实验室(KJS03036)资助课题

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出版历程
- 收稿日期: 2005-08-15
- 修回日期: 2006-04-12
- 刊出日期: 2007-05-19

A Method Based on Fractional Spectral Subtraction for Speech Enhancement

摘要

摘要: 该文提出了基于分数阶谱相减的语音增强法(FSS)。该方法通过对带噪语音信号作分数阶傅里叶变换(FRFT)，将得到的分数阶语噪混合谱与估计的分数阶噪声谱相减，最后利用分数阶Fourier反变换获得去噪后的语音信号。理论分析表明，所提方法存在一个最佳分数阶阶数，使得语噪混合信号能在分数阶变换域得到最好的分离，从而有效地提高了增强语音的性能。计算机仿真表明，对于混有加性白噪声的男/女声发音信号，所提方法在信噪比提高量和Itakura距离减少量两个方面都优于传统的谱相减法(SS)，并且增强语音中的音乐噪声得到了明显抑制。
- 分数阶傅里叶变换;语音增强;谱相减;音乐噪声
Abstract: 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.

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