Volume 7 Issue 3 - September 2016

  • 1. Ica & wavelet as a method for speech signal denoising

    Authors : Niti Gupta, Dr. Poonam Bansal

    Pages : 35-41

    DOI : http://dx.doi.org/10.21172/1.73.505

    Keywords : Speech signal denoising, wavelet, independent component analysis, SNR, Hard Thresholding, Soft Thresholding.

    Abstract :

    Speech signal denoising is a highly researched topic and here in this paper we discuss denoising using Independent Component analysis and Wavelet transform , Wavelet Thresholding is applied to noise dominated signal and both method of thresholding soft and hard is used . Independent Component analysis is a separation method which is dependent on blind source method. In this paper ICA is discussed and applied for speech denoising. Simulation results indicate that both the proposed method exhibit superior denoising performance but performance of ICA was better compared to Wavelet

    Citing this Journal Article :

    Niti Gupta, Dr. Poonam Bansal, "Ica & wavelet as a method for speech signal denoising", https://www.ijltet.org/journal_details.php?id=907&j_id=3314, Volume 7 Issue 3 - September 2016, 35-41, #ijltetorg