Speech Enhancement using Maximal Overlap Discrete Wavelet Transform

Authors : Selma ÖZAYDIN, İman Khalil ALAK

Pages : 159-171

View : 9 | Download : 6

Publication Date : 2018-12-30

Article Type : Research Paper

Abstract :Signal denoising for non-stationary digital signals can be effectively succeeded by using discrete wavelet transform. Selecting of a suitable thresholding method is important to minimize the loss of useful signal information. This paper demonstrates the application of the maximal overlap wavelet transform insert ignore into journalissuearticles values(Modwt); technique in speech signal denoising. The analysis algorithm was performed on Matlab platform. In this algorithm, different kinds of input noisy speech signals including environmental background noises such as restaurant, car, street or station were tested. The noisy signals were filtered from the speech signal by thresholding of wavelet coefficients with threshold estimation methods known as sgtwolog, modwtsqtwolog, heursure, rigrsure and minimaxi. The performance of the Modwt in denoising process was evaluated by comparing signal-to noise ratio insert ignore into journalissuearticles values(SNR); and mean square error insert ignore into journalissuearticles values(MSE); results to those of well-known threshold estimation methods. First, denoising effectiveness of a Modwt based threshold method was tested in different scenarios and very important improvements in denoising process were achieved by Modwt based scenarios. Next, the influence of the different wavelets families on Modwt based threshold estimation method was evaluated by experimental results. The results revealed that Modwt based method outperforms conventional threshold methods while providing nearly up to a %24 increase in SNR value.
Keywords : wavelet thresholding, discrete wavelet transform, maximal overlap, speech enhancement