published by Higher Institute for Applied Sciences and Technology
in 2015
in
and research's language is
العربية
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Abstract in English
In this project we study wavelet and wavelet transform, and the possibility of its employment in the processing and analysis of the speech signal in order to enhance the signal and remove noise of it. We will present different algorithms that depend on the wavelet transform and the mechanism to apply them in order to get rid of noise in the speech, and compare the results of the application of these algorithms with some traditional algorithms that are used to enhance the speech.
References used
Stark, Henry; Woods, John W, "Probability, Random Processes, and Estimation Theory for Engineers". Prentice-Hall, Inc. ISBN 0-13-711706-X. 1986
Savita Hooda and Smriti Aggarwal,"Review of MMSE Estimator for Speech Enhancement", ijecs, Vol. 4 - Issue 5 (May - 2015)
Jonathan Le Roux, John R. Hershey , "INDIRECT MODEL-BASED SPEECH ENHANCEMENT", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Paper: SP-L3.5, March 2012 (ICASSP, TR2012-016)