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Separation of Linearly Mixed Speech Signals using DWT based ICA

by Daljeet Singh, Jaspinder Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 28
Year of Publication: 2013
Authors: Daljeet Singh, Jaspinder Singh
10.5120/12256-8348

Daljeet Singh, Jaspinder Singh . Separation of Linearly Mixed Speech Signals using DWT based ICA. International Journal of Computer Applications. 70, 28 ( May 2013), 27-31. DOI=10.5120/12256-8348

@article{ 10.5120/12256-8348,
author = { Daljeet Singh, Jaspinder Singh },
title = { Separation of Linearly Mixed Speech Signals using DWT based ICA },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 28 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number28/12256-8348/ },
doi = { 10.5120/12256-8348 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:34:05.901305+05:30
%A Daljeet Singh
%A Jaspinder Singh
%T Separation of Linearly Mixed Speech Signals using DWT based ICA
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 28
%P 27-31
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Speech is the fundamental means of communication among humans. Speech production is the process of converting a linguistic message to the acoustic waveform. Separating various linearly mixed speech signals is often modelled by famous cocktail party problem and can be achieved by a technique known as Independent Component Analysis (ICA). ICA is similar to PCA and Factor analysis but it works on non-Gaussian mixture of signals. In this paper, the problem of separating linearly mixed signals is solved by using filter banks with ICA. Comparison of existing ICA technique with the one proposed is done based on experimental results which shows that the proposed algorithm over performs basic ICA.

References
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Index Terms

Computer Science
Information Sciences

Keywords

ICA non- Gaussian DWT filter bank

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