Table of Contents
Advances in Electrical Engineering
Volume 2014, Article ID 869721, 7 pages
http://dx.doi.org/10.1155/2014/869721
Research Article

Gradient Based Adaptive Algorithm for Echo Cancellation from Recorded Echo Corrupted Speech

Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh

Received 17 January 2014; Accepted 16 April 2014; Published 11 June 2014

Academic Editor: Mamun B. I. Reaz

Copyright © 2014 Upal Mahbub and Shaikh Anowarul Fattah. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. V. Vaseghi, Advanced Digital Signal Processing and Noise Reduction, John Wiley & Sons, New York, NY, USA, 2000.
  2. E. Hänsler and G. Schmidt, Acoustic Echo and Noise Control: A Practical Approach, John Wiley & Sons, New York, NY, USA, 2004.
  3. S. M. Kuo and B. H. Lee, Real-Time Digital Signal Processing, John Wiley & Sons, New York, NY, USA, 2001.
  4. C. Breining, P. Dreiseitel, E. Hänsler et al., “Acoustic echo control—an application of very-high-order adaptive filters,” IEEE Signal Processing Magazine, vol. 16, no. 4, 1999. View at Google Scholar
  5. A. Khong and P. Naylor, “Stereophonic acoustic echo cancellation employing selective-tap adaptive algorithms,” IEEE Transactions on Audio, Speech, Language Processing, vol. 14, no. 3, pp. 785–796, 2006. View at Publisher · View at Google Scholar
  6. F. Lindstrom, C. Schuldt, and I. Claesson, “An improvement of the two-path algorithm transfer logic for acoustic echo cancellation,” IEEE Transactions on Audio, Speech, Language Processing, vol. 15, no. 4, pp. 1320–1326, 2007. View at Publisher · View at Google Scholar
  7. R. Nath, “Adaptive echo cancellation based on a multipath model of acoustic channel,” Circuits, Systems and Signal Processing, pp. 1–26, 2012. View at Google Scholar
  8. M. Yukawa, R. de Lamare, and R. Sampaio-Neto, “Efficient acoustic echo cancellation with reduced-rank adaptive filtering based on selective decimation and adaptive interpolation,” IEEE Audio, Speech, and Language Processing, vol. 16, no. 4, pp. 696–710, 2008. View at Publisher · View at Google Scholar
  9. S. Haykin, Adaptive Filter Theory, Prentice-Hall, Upper Saddle River, NJ, USA, 3 edition, 1996.
  10. M. Bekrani, A. Khong, and M. Lotfizad, “A clipping-based selective-tap adaptive filtering approach to stereophonic acoustic echo cancellation,” IEEE Transactions on Audio, Speech, Language Processing, vol. 19, no. 6, pp. 1826–1836, 2011. View at Publisher · View at Google Scholar
  11. U. Mahbub and S. Fattah, “Gradient based adaptive filter algorithm for single channel acoustic echo cancellation in noise,” in Proceedings of the 7th International Conference on Electrical Computer Engineering (ICECE '12), pp. 880–883, 2012. View at Publisher · View at Google Scholar
  12. P. Åhgren, “Acoustic echo cancellation and doubletalk detection using estimated loudspeaker impulse responses,” IEEE Transactions on Speech and Audio Processing, vol. 13, no. 6, pp. 1231–1237, 2005. View at Publisher · View at Google Scholar · View at Scopus
  13. T. Nakatani, K. Kinoshita, and M. Miyoshi, “Harmonicitybased blind dereverberation for single-channel speech signals,” IEEE Transactions on Audio, Speech, Language Processing, vol. 15, no. 1, pp. 80–95. View at Publisher · View at Google Scholar
  14. K. Shi, X. Ma, and G. Zhou, “Acoustic echo cancellation using a pseudocoherence function in the presence of memoryless nonlinearity,” IEEE Transactions on Circuits and Systems I, vol. 55, no. 9, pp. 2639–2649, 2008. View at Publisher · View at Google Scholar
  15. F. Guangzeng and L. Feng, “A new echo caneller with the estimation of at delay,” in Proceedings of the IEEE Region 10th International Conference Technology Enabling Tomorrow: Computers, Communications and Automation towards the 21st Century (TENCON '92), Melbourne, Australia, 1992.
  16. J. S. Garofolo, L. F. Lamel, W. M. Fisher et al., Timit Acousticphonetic Continuous Speech Corpus, Linguistic Data Consortium, Philadelphia, Pa, USA, 1993.