Applied-Information Technology with Speech Enhancement Based on EMD and MF

被引：0

作者：

Li, Jin ^{[1
]}

Shen, Kun ^{[1
]}

机构：

[1] Hunan Normal Univ, Inst Phys & Informat Sci, Changsha 410081, Hunan, Peoples R China

来源：

ADVANCED DEVELOPMENT OF ENGINEERING SCIENCE IV | 2014年 / 1046卷

关键词：

Speech Enhancement; Empirical Mode Decomposition (EMD); Morphology Filtering (MF);

D O I：

10.4028/www.scientific.net/AMR.1046.384

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Aiming at traditional methods cannot get good performance in noisy environments, an improved method for speech enhancement based on Empirical Mode Decomposition (EMD) and Morphology Filtering (MF) was proposed. The method firstly uses EMD to obtain Intrinsic Mode Function (IMF) and for hard threshold processing, then selects appropriate structuring element to construct MF for filtering processing in remaining IMFs. Finally, speech enhancement signal is reconstructed for each IMFs. Experimental results show that the proposed method for speech enhancement has better de-noising effect by comparing time-domain waveform and spectrogram. Moreover, the quality of reconstructed speech enhancement signal has been significantly improved.

引用

页码：384 / 387

页数：4

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