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International Journal of Speech Technology

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16-08-2016

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

Authors: Sachin Singh, A. M. Mutawa

Published in: International Journal of Speech Technology | Issue 4/2016

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Abstract

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.

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Title: A wavelet- based transform method for quality improvement in noisy speech patterns of Arabic language
Authors: Sachin Singh
A. M. Mutawa
Publication date: 16-08-2016
Publisher: Springer US
Published in: International Journal of Speech Technology / Issue 4/2016
Print ISSN: 1381-2416
Electronic ISSN: 1572-8110
DOI: https://doi.org/10.1007/s10772-016-9359-z

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