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Modified Adaptive Line Enhancer in Variable Noise Environments using Set-Membership Adaptive Algorithm


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DOI: https://doi.org/10.15866/irecos.v9i8.2923

Abstract


In most speech processing systems, speech signals degrade significantly in noisy environments. Therefore, noise cancellation methods are necessary to eliminate noise from the speech signal. This paper presents a development technique to improve the performance of a noise cancellation system called Adaptive Line Enhancer (ALE) in variable noise environments. The method is based on using a modified and simplified version of the set-membership Affine Projection algorithm (AP) adaptive filter. The modification introduced here is to make the adaptive algorithm, work with a dynamically variable step-size, as a substitute for the commonly used Least Mean Square (LMS) algorithm in ALE system. The performance of the developed ALE in variable noise is illustrated here, and the results are compared to similar ALE systems based on the classical adaptive algorithms, such as the Least-Mean-Square (LMS), the Normalized LMS (NLMS) and the Affine Projection (AP) algorithms. The developed adaptive line enhancer using the simplified affine projection algorithm showed a better performance than those based on LMS, NLMS and AP.
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Keywords


Adaptive Line Enhancer; Set-Membership; Adaptive Algorithm; Affine Projection; noise environment

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References


N. Sonbolestan and S.A. Hadei. A Fast Affine Projection Algorithm Based on Matching Pursuit in Adaptive Noise Cancellation for Speech Enhancement. in 2010 International Conference on Intelligent Systems, Modelling and Simulation (ISMS) (Page: 193-198, 2010.).
http://dx.doi.org/10.1109/ISMS.2010.45

J.M. Górriz, et al., A Novel LMS Algorithm Applied to Adaptive Noise Cancellation. IEEE Signal Processing Letters, Vol. 16, No.1, pp. 34-37,2009.
http://dx.doi.org/10.1109/LSP.2008.2008584

M. Stella, D. Begusic, and M. Russo. Adaptive Noise Cancellation based on Neural Network. in International Conference Software in Telecommunications and Computer Networks (Page: 306-309, 2006.).

V. Gupta, M. Chandra, and S. Sharan, Acoustic Echo and Noise Cancellation System for Hand-Free Telecommunication using Variable Step Size Algorithms. RADIOENGINEERING, pp. 200-207,2013.

M. Latos and M. Pawełczyk, Adaptive Algorithms for Enhancement of Speech Subject to a High-Level Noise. Archives of Acoustics, Vol. 35, pp. 203-212,2010.
http://dx.doi.org/10.2478/v10168-010-0019-z

E. Soleit, M. Gadallah, and A. Salah. Adaptive Detection of the Fetus ECG Signal. in Proceedings of the Nineteenth National Radio Science Conference NRSC 2002 (Page: 641-648, 2002.).
http://dx.doi.org/10.1109/NRSC.2002.1022676

Jeyalakshmi, C., Krishnamurthi, V., Revathy, A., Performance evaluation of the hearing impaired speech recognition in noisy environment, (2013) International Review on Computers and Software (IRECOS), 8 (10), pp. 2467-2476.

M. Gabrea. A Single Microphone Noise Canceller based on an Adaptive Kalman Filter. in 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2012 (Page: 2012. Montreal, QC; Canada).

J. Vaňuš, The Use of the Adaptive Noise Cancellation for Voice Communication with the Control System. International Journal of Computer Science and Applications, Vol. 8, No.1, pp. 54-70,2011.

O.A. Abid Noor, S.A. Samad, and A. Hussain. Noise Cancellation in Speech using Optimized Subband Adaptive Filtering. in IEEE Student Conference on Research and Development (SCOReD), 2009 (Page: 266-268, 2009.).

T.B. Spalt, et al., A Background Noise Reduction Technique Using Adaptive Noise Cancellation for Microphone Arrays. 17th AIAACEAS Aeroacoustics Conference, pp. 05 - 08,2011.

A.O.A. Noor, Adaptive Noise Cancellation : Innovative Approaches, ed. Series (Lap Lambert Academic Publishing,2012).

M.Z. Ilyas, et al. Normalized Least Mean Square Adaptive Noise Cancellation Filtering for Speaker Verification in Noisy Environments. in IEEE International Conference on Electronic Design, 2008. ICED 2008. (Page: 1-4, 2008.).

J.E. Greenberg, Modified LMS Algorithms for Speech Processing with an Adaptive Noise Canceller. IEEE Transactions on Speech and Audio Processing, Vol. 6, No.4, pp. 338-351,1998.
http://dx.doi.org/10.1109/89.701363

M. Gabrea. A Double RLS Noise Canceller and Some Related Schemes. in Proceedings of the Third IEEE International Conference on Electronics, Circuits, and Systems, 1996. ICECS '96. (Page: 984-987 vol.2, 1996.).

J.R. Mohammed, et al., An Efficient Adaptive Noise Cancellation Scheme Using ALE and NLMS Filters. International Journal of Electrical and Computer Engineering (IJECE), Vol. 2, pp. 325-332,2012.

W. Hernández, Improving the Response of a Wheel Speed Sensor using an Adaptive Line Enhancer. Measurement, Vol. 33, No.3, pp. 229-240,2003.
http://dx.doi.org/10.1016/S0263-2241(02)00077-5

R.L. Campbell, N.H. Younan, and J. Gu, Performance Analysis of the Adaptive Line Enhancer with Multiple Sinusoids in Noisy Environment. Signal Processing, Vol. 82, pp. 93-101,2002.
http://dx.doi.org/10.1016/S0165-1684(01)00160-8

S. Haykin, Adaptive Filter Theory, ed. Series (Prentice HallUpper Saddle River, NJ,2002).

P.S.R. Diniz, Adaptive filtering: algorithms and practical implementation. Book, ed. Series (SpringerNew York,2008).

K. Ozeki and T. Umeda, An Adaptive Filtering Algorithm Using an Orthogonal Projection to an Affine Subspace and Its Properties. Electronics and Communications in Japan, Vol. 67-A, No.No. 2, pp. 126-132,1984.

P.S.R. Diniz, Adaptive Filtering: Algorithms and Practical Implementation. Third Ed. ed, ed. Series (SpringerNew York,2008).

A. Gonzalez, M. Ferrer, and M.D. Diego, An Affine Projection Algorithm with Variable Step Size and Projection Order. Digital Signal Processing, Vol. 22, pp. 586-592,2012.
http://dx.doi.org/10.1016/j.dsp.2012.03.004

H. Choi and H.D. Bae, Subband Affine Projection Algorithm for Acoustic Echo Cancellation System. EURASIP Journal on Applied Signal Processing, Vol. 2007,2007.

J. Sung Eun, K. Sang Woo, and P. Tae Joon. Equally Constrained Affine Projection Algorithm. in Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. (Page: 955-959 Vol.1, 2004.).

F. Albu, et al. The Gauss-Seidel Fast Affine Projection Algorithm. in IEEE Workshop on Signal Processing Systems, 2002.(SIPS'02). (Page: 109-114, 2002.).

S.L. Gay and S. Tavathia. The Fast Affine Projection Algorithm. in 1995 International Conference on Acoustics, Speech, and Signal Processing, 1995. ICASSP-95. (Page: 3023-3026 vol.5, 1995.).

J.-D. Wu and R.-J. Hung, Design of an Adaptive Line Enhancement System using a Variable Step-Size Affine-Projection Algorithm. NDT & E International, Vol. 38, pp. 387-393,2005.
http://dx.doi.org/10.1016/j.ndteint.2004.10.006

J.-D. Wu and S.-L. Lin, Audio Quality Improvement of Vehicular Hands-Free Communication using Variable Step-Size Affine Projection Algorithm. Int. J. Wavelets, Multiresolution and Info., Vol. 8, No.6, pp. 875-894,2010.
http://dx.doi.org/10.1142/S0219691310003821

R. Arablouei and K. Dogancay. Set-Membership Recursive Least-Squares Adaptive Filtering Algorithm. in 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Page: 3765-3768, 2012.).
http://dx.doi.org/10.1109/ICASSP.2012.6288736

M.S.E. Abadi and J.H. Husøy, Selective partial update and set-membership subband adaptive filters. Signal Processing, Vol. 88, No.10, pp. 2463-2471,2008.
http://dx.doi.org/10.1016/j.sigpro.2008.04.014

S. Gollamudi, et al., Set-Membership Filtering and a Set-Membership Normalized LMS Algorithm with an Adaptive Step Size. IEEE Signal Processing Letters, Vol. 5, No.5, pp. 111-114,1998.
http://dx.doi.org/10.1109/97.668945

S. Werner and P.S.R. Diniz, Set-Membership Affine Projection Algorithm. IEEE Signal Processing Letters, Vol. 8, No.8, pp. 231-235,2001.
http://dx.doi.org/10.1109/97.935739

P.S.R. Diniz, Convergence Performance of the Simplified Set-Membership Affine Projection Algorithm. Circuits, Systems, and Signal Processing, Vol. 30, pp. 439-462,2011.
http://dx.doi.org/10.1007/s00034-010-9219-z

J.R. Zeidler, Performance Analysis of LMS Adaptive Prediction Filters. Proc of the IEEE, Vol. 78, No.12, pp. 1781-1806,1990.
http://dx.doi.org/10.1109/5.60921

B. Widrow, et al., Adaptive Noise Cancelling: Principles and Applications. Proceedings of the IEEE, Vol. 63, No.12, pp. 1692-1716,1975.
http://dx.doi.org/10.1109/PROC.1975.10036

R.L. Campbell, N.H. Younan, and J. Gu, Performance Analysis of the Adaptive Line Enhancer with Multiple Sinusoids in Noisy Environment. Signal Processing, Vol. 82, No.1, pp. 93-101,2002.
http://dx.doi.org/10.1016/S0165-1684(01)00160-8

B. Widrow and S.D. Stearns, Adaptive signal processing, ed. Series (Prentice-Hall,1985).

J. Treichler, Transient and Convergent Behavior of the Adaptive Line Enhancer. IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 27, No.1, pp. 53-62,1979.
http://dx.doi.org/10.1109/TASSP.1979.1163200

S.V. Vaseghi, Advanced Digital Signal Processing and Noise Reduction. Fourth ed, ed. Series (John Wiley & Sons Ltd.West Sussex,2008).

S.G. Sankaran and A.A.L. Beex, Convergence Behavior of Affine Projection Algorithms. IEEE Transactions on Signal Processing, Vol. 48, pp. 1086-1096,2000.
http://dx.doi.org/10.1109/78.827542


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