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Reseach Article

Analysis the results of Acoustic Echo Cancellation for speech processing using LMS Adaptive Filtering Algorithm

by Ranbeer Tyagi, Dheeraj Agrawal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 15
Year of Publication: 2012
Authors: Ranbeer Tyagi, Dheeraj Agrawal
10.5120/8965-3175

Ranbeer Tyagi, Dheeraj Agrawal . Analysis the results of Acoustic Echo Cancellation for speech processing using LMS Adaptive Filtering Algorithm. International Journal of Computer Applications. 56, 15 ( October 2012), 7-11. DOI=10.5120/8965-3175

@article{ 10.5120/8965-3175,
author = { Ranbeer Tyagi, Dheeraj Agrawal },
title = { Analysis the results of Acoustic Echo Cancellation for speech processing using LMS Adaptive Filtering Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 15 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number15/8965-3175/ },
doi = { 10.5120/8965-3175 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:58:54.130677+05:30
%A Ranbeer Tyagi
%A Dheeraj Agrawal
%T Analysis the results of Acoustic Echo Cancellation for speech processing using LMS Adaptive Filtering Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 15
%P 7-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Conventional acoustic echo canceller encounters problems like slow convergence rate (especially for speech signal) and high computational complexity as the identification of the echo path requires filter with more than a thousand taps, non-stationary speech input, slowly time-varying systems to be identified. The demand for fast convergence and less MSE level cannot be met by conventional adaptive filtering algorithms. There is a need to be computationally efficient and rapidly converging algorithm. The LMS algorithm is easy to implement and computationally inexpensive. This feature makes the LMS algorithm attractive for echo cancellation applications. The results show that the steady state value of the output estimation error increases with increasing the step size parameter and the optimality of the LMS algorithm is no longer hold. The results also reveal that choosing the smallest value of the step size parameter guarantees the smallest mis-adjustment but might not meet the convergence criteria.

References
  1. J. G. Proakis," Digital Communications" ,Fourth Edition. New York, McGraw Hill, 2001.
  2. A. N. Birkett Morgan, 2003, "A two stage neural filter and training algorithm for application in handsfree telephone acoustic echo cancellers".
  3. F. Capman, J. Boudy, P. Lockwood, 1995, "Acoustic Echo Cancellation using a Fast QR-RLS Algorithm and Multirate Schemes",IEEE Trans. Signal Processing. Pp. 969-972.
  4. Oppenheim, A. V. & Schafer, R. W. 1999, "Discrete Time Signal Processing", 2nd edition, Prentice Hall, United States of America.
  5. S. M. Kuo, B. H. Lee and W. Tian, "Real Time Digital Signal Processing", John Wily & sons Ltd,2006.
  6. S. Haykin and T. Kailath "Adaptive Filter Theory " Fourth Edition. Prentice Hall, Pearson Education 2002.
  7. "Adaptive Filters" Douglas L. Jones , CONNEXIONS Rice University ,Houston, Texas.
  8. A. H. Sayed "Fundamentals of adaptive filtering" Hoboken, N. J. : Wiley, 2003.
  9. B. Widrow and S. Stearns,''Adaptive Signal Processing''Prentice Hall, 1985.
  10. A. Papoulis, "Probability, Random Variables, and Stochastic Processes", second edition. New York: McGraw-Hill, 1984.
  11. Wee Chong Chew and Dr B. Farhang Boroujeny,1997, "Software Simulation and Real-time Implementation of Acoustic Echo Cancelling", pp. 1270-1274.
  12. Thieny Petillon, Andre Gilloire, and Sergios Theodoridis, Member, IEEE,1994, "The Fast Newton Transversal Filter: An Efficient Scheme for Acoustic Echo Cancellation in Mobile Radio". pp. 509-518.
  13. Isao Nakanishi and Yuudai Nagata, Yoshio Itoh, Yutaka Fukui, "Single-Channel Speech Enhancement Based on Frequency Domain ALE" ISCAS 2006.
  14. Sanjeev Dhull, Sandeep Arya, O. P Sahu "Performance Evaluation of Adaptive Filters Structures for Acoustic Echo Cancellation" International Journal of Engineering (IJE), Volume (5), Issue (2),pp. 208-215, 2011.
  15. Deshpande Tanavi A, Dube R. R. "A Design of Nonlinear Acoustic Echo Canceller Using Raised Cosine Function and NLMS Algorithm" Proceedings of the National Conference "NCNTE-2012" at Fr. C. R. I. T. , Vashi, Navi Mumbai, pp. 80-85 Feb. 24-25, 2012.
  16. V. R. Metkewar, A. N. Kamthane, Aqeel Ahemad, S. A. Hashmi "Adaptive LMS and NLMS algorithms for cancellation of Acoustic echo" MPGI National Multi Conference 2012 (MPGINMC-2012) "Advancement in Electronics & Telecommunication Engineering" pp. 25-27,7-8 April, 2012.
  17. Barik, A. , Murmu, G. , Bhardwaj, T. P. , Nath, R. , "LMS adaptive Multiple Sub-Filters based acoustic echo cancellation" IEEE "International Conference Computer and Communication Technology (ICCCT), 2010" pp. 824 – 827, 17-19 Sept. 2010.
  18. Nongpiur, R. C. , Shpak, D. J. , "Maximizing the Signal-to-Alias Ratio in Non-Uniform Filter Banks for Acoustic Echo Cancellation" Circuits and Systems Society: Regular Papers, IEEE Transactions;ISSN: 1549-8328; 14 February-2012.
  19. Dubey, S. K. , Rout, N. K. , "FLMS algorithm for acoustic echo cancellation and its comparison with LMS" Recent Advances in Information Technology (RAIT), 2012 1st International Conference, Dhanbad, pp. 852 – 856, 15-17 March 2012,Print ISBN: 978-1-4577-0694-3.
  20. Schuldt, Christian , Lindstrom, Fredric , Claesson, Ingvar, " Robust low-complexity transfer logic for two-path echo cancellation" Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference, Kyoto, Japan, 25-30 March 2012, pp. - 173 – 176, ISSN : 1520-6149.
Index Terms

Computer Science
Information Sciences

Keywords

LMS Algorithm Echo-cancellation ERLE MSE