CFP last date
22 April 2024
Reseach Article

Pseudo Affine Projection Algorithm Based Noise Minimization from Speech Signals

Published on August 2018 by Deepak Gupta, V. K. Gupta, A. N. Mishra
National Conference on Recent Trends in Electronics and Electrical Engineering
Foundation of Computer Science USA
NCRTEEE2017 - Number 1
August 2018
Authors: Deepak Gupta, V. K. Gupta, A. N. Mishra
b4a9dcb5-db74-40af-b30e-7fe732f1e518

Deepak Gupta, V. K. Gupta, A. N. Mishra . Pseudo Affine Projection Algorithm Based Noise Minimization from Speech Signals. National Conference on Recent Trends in Electronics and Electrical Engineering. NCRTEEE2017, 1 (August 2018), 1-5.

@article{
author = { Deepak Gupta, V. K. Gupta, A. N. Mishra },
title = { Pseudo Affine Projection Algorithm Based Noise Minimization from Speech Signals },
journal = { National Conference on Recent Trends in Electronics and Electrical Engineering },
issue_date = { August 2018 },
volume = { NCRTEEE2017 },
number = { 1 },
month = { August },
year = { 2018 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/ncrteee2017/number1/29882-1702/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Electronics and Electrical Engineering
%A Deepak Gupta
%A V. K. Gupta
%A A. N. Mishra
%T Pseudo Affine Projection Algorithm Based Noise Minimization from Speech Signals
%J National Conference on Recent Trends in Electronics and Electrical Engineering
%@ 0975-8887
%V NCRTEEE2017
%N 1
%P 1-5
%D 2018
%I International Journal of Computer Applications
Abstract

This paper presents the noise minimization from speech signal and how speech enhancement is done by using pseudo affine projection algorithm. Noise minimization is one of the major applications of the adaptive filters used in recent research areas. The Affine Projection algorithm and its variants are popular choice for noise minimization because of its fast convergence like recursive least square (RLS) and low complexity like least mean square (LMS) algorithm. The pseudo affine projection is a gradient type variant of affine projection algorithm with relaxed step-size conditions and less complexity which offers improved performance. The pseudo affine projection algorithm works successfully for local robustness properties of algorithms, as well as steady-state values of moderate to high accuracy specially when applied to long filter order. The maximum signal to noise ratio improvement (SNRI) achieved is 40. 22dB and the minimum mean square error (MSE) achieved is 0. 0031 at filter order 400 for input SNR of -20dB. The robustness of this algorithm is verified by evaluating it for various noises.

References
  1. Smith S. Haykin: Adaptive Filter Theory, 3rd ed. Upper Saddle River, NJ: Prentice Hall, (2002).
  2. Sayed, A. H. : Adaptive Filters. Wiley, Hoboken (2008).
  3. Davis, G, M, "Noise Reduction in Speech Applications", CRC Press LLC, ISBN 0-8493-0949-2, USA, 2002.
  4. D. K. , Gupta V. K. , and Chandra Mahesh, "Review Paper on Linear and Nonlinear Acoustic Echo Cancellation", Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2015, Vol. 2, pp. 465-473.
  5. K. Ozeki and T. Umeda, "An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties," Electron. Commun. Jpn. , vol. 67-A, no. 5, pp. 19–27, May 1984.
  6. H. -C. Shin and A. H. Sayed, "Mean-square performance of a family of affine projection algorithms," IEEE Trans. Signal Process. , vol. 52, no. 1, pp. 90–102, Jan. 2004.
  7. S. L. Gay and J. Benesty, Acoustic signal processing for telecommunication. Second edition, Kubler Academic Publishers, 2001.
  8. Alberto Gonzalez , Miguel Ferrer , Felix Albu , and Maria de Diego, "Affine Projection Algorithm: Evolution to smart and fast algorithms and application" 20th European Signal Processing Conference, EURASIP, 2012 - ISSN 2076-1465.
  9. V. K. Gupta, D. K. Gupta, Mahesh Chandra, "Real time noise canceller using modified sigmoid function RLS algorithm", proceedings of International Conference on Computational Vision and Robotic(ICCVR-2014) 9th-10th, August, 2014 Bhubaneswar, INDIA, 2014.
  10. C. Paleologu, J. Benesty, "A Variable Step-Size Affine Projection Algorithm Designed for Acoustic Echo Cancellation," IEEE Transactions on Audio, Speech, and Language Processing, vol. 16, no. 8, pp. 1446-1478 2008.
  11. F. Bouteille, P. Scalart and M. Corazza, "Pseudo affine projection algorithm: new solution for adaptive identification," Eurospeech, 1999, vol. 1, pp. 427–430.
  12. Markus Rupp, Senior Member, IEEE "Pseudo Affine Projection Algorithms Robustness and Stability Analysis", 2011.
  13. F. Bouteille, P. Scalart and M. Corazza, "Pseudo affine projection algorithm: new solution for adaptive identification," Eurospeech, 1999, vol 1, pp. 427–430.
  14. Felix Albu, Martin Bouchard, and Yuriy Zakharov, "Pseudo Affine Projection Algorithms for Multichannel Active Noise Control" IEEE.
  15. J. Lee, Y. -C. Park and D. H. Youn, "Robust pseudo affine projection algorithm with variable step-size", ELECTRONICS LETTERS, vol. 44 no. 3, 31st January 2008.
  16. V. Myllylä and G. Schmidt, "Pseudo-optimal regularization for affine projection algorithms," in Proc. IEEE Int. Conf. on Accoust. , Speech, Signal Process. (ICASSP'02), Orlando, FL, May 2002, pp. 1917–1920.
  17. Samudravijaya, K et al. :Hindi Speech Database, Proc. ICSLP00, Beijing, China, CDROM 00192. pdf.
  18. Varga,A. ; Steeneken, H. J. M. ; Jones, D. :The noisex-92 study on the effect of additive noise on automatic speech recognition system, Reports of NATO Research Study Group (RSG. 10) (1992).
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Filter Affine Projection (ap) Snri Mse And Computational Complexity.