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Speech Enhancement using Affine Projection Algorithm and Normalized Kernel Affine Projection Algorithm

by Kavita R. Jadhav, Mrinal R. Bachute, R. D. Kharadkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 4
Year of Publication: 2014
Authors: Kavita R. Jadhav, Mrinal R. Bachute, R. D. Kharadkar
10.5120/17515-8075

Kavita R. Jadhav, Mrinal R. Bachute, R. D. Kharadkar . Speech Enhancement using Affine Projection Algorithm and Normalized Kernel Affine Projection Algorithm. International Journal of Computer Applications. 100, 4 ( August 2014), 35-41. DOI=10.5120/17515-8075

@article{ 10.5120/17515-8075,
author = { Kavita R. Jadhav, Mrinal R. Bachute, R. D. Kharadkar },
title = { Speech Enhancement using Affine Projection Algorithm and Normalized Kernel Affine Projection Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 4 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 35-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number4/17515-8075/ },
doi = { 10.5120/17515-8075 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:26.823825+05:30
%A Kavita R. Jadhav
%A Mrinal R. Bachute
%A R. D. Kharadkar
%T Speech Enhancement using Affine Projection Algorithm and Normalized Kernel Affine Projection Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 4
%P 35-41
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of the Speech Enhancement system is to improve the quality of noisy speech signal. This paper emphasize on enhancement of noisy speech by using Affine Projection Algorithm (APA) and Kernel Affine Projection Algorithm (KAPA). Noise is present everywhere in the environment, So Kernel adaptive filters are used to enhance noisy speech signal and shows the good improvement in increasing the Signal to Noise Ratio (SNR) and Mean square error (MSE). The computer simulations are performed using NOIZEUS speech corpus for different SNR values using Affine projection (APA), Kernel Affine projection (KAPA), Recursive least square (RLS), Kernel least mean square (KLMS) and their performance is compared.

References
  1. Bolimera Ravi, Lim, T. Kishore Kumar, "Speech enhancement using kernel and normalized affine projection algorithm," Signal and image Processing, vol. 4, August2013.
  2. W. Harrison, J. Lim, E. Singer, "A new application of adaptive noise cancellation," IEEE Trans. Acoustic Speech Signal Processing, vol. 34, pp. 21-27, Jan 1986.
  3. SaeedV. Vaseghi, "Advanced digital signal processing and noise reduction. " John Wiley and Sons.
  4. N. Aronszajn, "Theory of reproducing kernels," Trans. Amer. Math. Soc. , vol. 68, pp. 337–404, 1950.
  5. Jose C. Principe, Weifeng Liu, and Simon Haykin "Kernel Adaptive Filtering: A Comprehensive Introduction", Wiley, March 2010.
  6. A. Sayed, Fundamentals of Adaptive Filtering. New York: Wiley, 2003
  7. W. Liu, P. Pokharel, and J. C. Principe, "The kernel least mean square algorithm," IEEE Transactions on Signal Processing, vol. 56, 2008.
  8. NOIZEUS: A noisy speech corpus http://www. utdallas. edu/ ~loizou/speech/noizeus/, Feb, 2013
Index Terms

Computer Science
Information Sciences

Keywords

Speech enhancement APA KAPA RKHS MSE SNR.

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