Denoising of Speech using Wavelets

  • Snehal S. Laghate, Sanjivani S. Bhabad
  • Published 2015

Abstract

Wavelet analysis is new method for solving problems in engineering, mathematics, physics with modern applications like data compression, signal processing, image processing. Wavelet allows complex information like speech, music to be decomposed into elementary forms with different position and scales and subsequently reconstructed with high precision. This paper describes the use of wavelet transform for denoising speech signals contaminated with noise. The practical results are obtained for variations in Family of wavelet selected and different types of noise for Haar family. Simulation and results are performed in MATLAB r2014a. KeywordsMATLAB; Wavelet1-D; Daubechies; Haar; Symlet

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Cite this paper

@inproceedings{Laghate2015DenoisingOS, title={Denoising of Speech using Wavelets}, author={Snehal S. Laghate and Sanjivani S. Bhabad}, year={2015} }