DocumentCode :
3289296
Title :
Comparative performance study between Spectral Subtraction and Discreet Wavelet Transform for Speech enhancement
Author :
Boutaleb, R. ; Meraoubi, H. ; Ykhlef, Faycal ; Benzaba, W. ; Boucetta, Y. ; Bendaouia, Lotfi
Author_Institution :
Div. ASM, Centre de Dev. des Technol. Av. (CDTA), Algiers, Algeria
fYear :
2013
fDate :
27-30 May 2013
Firstpage :
1
Lastpage :
1
Abstract :
In this paper we present a comparative performance study between Spectral Subtraction (SS) and Discreet Wavelet Transform (DWT) methods for Speech enhancement. We have implemented three extended approached based on SS and two other ones based on the DWT. We have used a speech corpus extracted from NOISZEUS database [5]. Two different noises, Babble and Street, have been used to validate the implemented methods. Experimental results show that the DWT based approaches outperformed the classical methods.
Keywords :
discrete wavelet transforms; speech enhancement; Babble; DWT method; NOISZEUS database; Street; discrete wavelet transform; spectral subtraction; speech corpus; speech enhancement; Databases; Discrete wavelet transforms; Noise; Speech; Speech enhancement; Discreet Wavelet Transform; Spectral Subtraction; Speech Enhencement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Systems and Applications (AICCSA), 2013 ACS International Conference on
Conference_Location :
Ifrane
ISSN :
2161-5322
Type :
conf
DOI :
10.1109/AICCSA.2013.6616435
Filename :
6616435
Link To Document :
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