Browse > Article

A New Least Mean Square Algorithm Using a Running Average Process for Speech Enhancement  

Lee, Soo-Jeong (Department of Computer Engineering, Kwangwoon University)
Ahn, Chan-Sik (Department of Computer Engineering, Kwangwoon University)
Yun, Jong-Mu (Department of Computer Engineering, Kwangwoon University)
Kim, Soon-Hyob (Department of Computer Engineering, Kwangwoon University)
Publication Information
The Journal of the Acoustical Society of Korea / v.25, no.3E, 2006 , pp. 123-130 More about this Journal
Abstract
The adaptive echo canceller (AEC) has become an important component in speech communication systems, including mobile station. In these applications, the acoustic echo path has a long impulse response. We propose a running-average least mean square (RALMS) algorithm with a detection method for acoustic echo cancellation. Using colored input models, the result clearly shows that the RALMS detection algorithm has a convergence performance superior to the least mean square (LMS) detection algorithm alone. The computational complexity of the new RALMS algorithm is only slightly greater than that of the standard LMS detection algorithm but confers a major improvement in stability.
Keywords
Adaptive echo cancellation; LMS; Moving average estimator; Speech enhancement;
Citations & Related Records
연도 인용수 순위
  • Reference
1 WebProForums.Echocancellationtutorial. http://webproforum.com/echo_ cancel/index.htm, 2001
2 S.L.Gay, Acoustic Signal Processing for Telecommunication (Kluwer Academic Publishers, Dordrecht, The Netherlands, 2000)
3 J.Homer and I.Mareels, 'LS detection guided NLMS estimation of sparse systems', Proceedings of the IEEE 2004 International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Montreal, Quebec, Canada, pp. 861-864, 2004
4 J.Homer, Adaptive echo cancellation in telecommunications, (Ph.D. dissertation, Australian National University, Canberra, ACT, Australia, 1994)
5 S.Haykin, Adaptive Filter Theory (PrenticeHall, Upper Saddle River, New Jersey, 2002), Chap.5, 231-235
6 B.Widrow and S.D.Stearns, Adaptive Signal Processing, (PrenticeHall, Upper Saddle River, New Jersey, 1985),Chap.6, 99-113
7 J.Homer, I.Mareels, R.R. Bitmead, B.Wahlberg and F. Gustafsson, 'Improved LMS estimation via structural detection', IEEE Transactions on Signal Processing, 46, No. 10, 26512663, 1998
8 J.H.McClellan, R.W.Schaferand M.A.Yoder, Signal Processing First, (PrenticeHall, Upper Saddle River, New Jersey, 2003), Chap.5,102-105
9 'Digital land mobile radio communications,' Office for Official Publication of the European Communities, Luxembourgh, Final Rep. COST 207, 1987
10 J.R.Casar-Corredera and J.A.Alcazar-Fernandez, 'An acoustic echo canceller for teleconference systems',In Proceedings of the IEEE 1986 International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Tokyo, Japan, 1317-1320, 1986
11 H.Michael, Acoustic echo cancellation digtal signal processing, Bachelor of Engineering thesis, (The school of electrical engineering, The university of Queensland,2003)
12 V. Edward, Signal prewhitening schemes for detection-guided LMS estimates, (Department of Electrical and Computer Engineering) University of Queensland, Brisbane, Queensland, Australia, 1999
13 M.M.Sondhi, 'Silencing echoes on the telephone network' Proceedings of the IEEE, Berkley, D.A. , 68, pp. 948-963, 1980
14 J.Homer, 'Detection guided NLMS estimation of sparsely parameterized channels'. IEEE Transactions on Circuits and Systems U: Analog and Signal Processing, 47, No. 12, pp. 1437-1442, 2000   DOI   ScienceOn