A wavelet- based transform method for quality improvement in noisy speech patterns of Arabic language

被引：2

作者：

Singh S. ^{[1
]}

Mutawa A.M. ^{[2
]}

机构：

[1] Electrical and Electronics Engineering, Faculty, SRMS CET, Bareilly

[2] Computer Engineering Department, Faculty, Kuwait University, Kuwait City

来源：

International Journal of Speech Technology | 2016年 / 19卷 / 04期

关键词：

Performance measure parameters; Speech enhancement; Wavelet transform;

D O I：

10.1007/s10772-016-9359-z

中图分类号：

学科分类号：

摘要：

This paper addresses the problem of single-channel speech enhancement of low (negative) SNR of Arabic noisy speech signals. For this aim, a binary mask thresholding function based coiflet5 mother wavelet transform is proposed for Arabic speech enhancement. The effectiveness of binary mask thresholding function based coiflet5 mother wavelet transform is compared with Wiener method, spectral subtraction, log-MMSE, test-PSC and p-mmse in presence of babble, pink, white, f-16 and Volvo car interior noise. The noisy input speech signals are processed at various levels of input SNR range from −5 to −25 dB. Performance of the proposed method is evaluated with the help of PESQ, SNR and cepstral distance measure. The results obtained by proposed binary mask thresholding function based coiflet5 wavelet transform method are very encouraging and shows that the proposed method is much helpful in Arabic speech enhancement than other existing methods. © 2016, Springer Science+Business Media New York.

引用

页码：677 / 685

页数：8

共 28 条

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