PIER M
 
Progress In Electromagnetics Research M
ISSN: 1937-8726
Home | Search | Notification | Authors | Submission | PIERS Home | EM Academy
Home > Vol. 4 > pp. 167-184

SPEECH ENHANCEMENT USING AN ADAPTIVE WIENER FILTERING APPROACH

By M. A. Abd El-Fattah, M. I. Dessouky, S. M. Diab, and F. E.-S. Abd El-Samie

Full Article PDF (4,843 KB)

Abstract:
This paper proposes the application of the Wiener filter in an adaptive manner in speech enhancement. The proposed adaptive Wiener filter depends on the adaptation of the filter transfer function from sample to sample based on the speech signal statistics (mean and variance). The adaptive Wiener filter is implemented in time domain rather than in frequency domain to accommodate for the varying nature of the speech signal. The proposed method is compared to the traditional Wiener filter and the spectral subtraction methods and the results reveal its superiority.

Citation:
M. A. Abd El-Fattah, M. I. Dessouky, S. M. Diab, and F. E.-S. Abd El-Samie, "Speech Enhancement Using an Adaptive Wiener Filtering Approach," Progress In Electromagnetics Research M, Vol. 4, 167-184, 2008.
doi:10.2528/PIERM08061206

References:
1. Boll, S. F., "Suppression of acoustic noise in speech using spectral subtraction ," IEEE Trans. Acoust., Speech, Signal Processing, Vol. 27, 113-120, 1979.
doi:10.1109/TASSP.1979.1163209

2. Berouti, M., R. Schwartz, and J. Makhoul, "Enhancement of speech corrupted by acoustic noise," Proc. IEEE Int. Conf. Acoust., Speech Signal Processing, 208-211, 1979.

3. Ephriam, Y. and H. L. van Trees, A signal subspace approach for speech enhancement, Proc. International Conference on Acoustic, Speech and Signal Processing, Vol. 2, 355-358, Detroit, MI, USA., May 1993.

4. Haykin, S., Adaptive Filter Theory, Prentice-Hall, ISBN 0-13-322760-X, 1996.

5. Lim, J. S. and A. V. Oppenheim, "All-pole modelling of degraded speech," IEEE Trans. Acoust., Speech, Signal Processing, Vol. 26, June 1978.

6. Ephraim, Y. and H. L. van Trees, "A spectrally-based signal subspace approach for speech enhancement," IEEE ICASSP, 804-807, 1995.

7. Hu, Y. and P. Loizou, A subspace approach for enhancing speech corrupted by colored noise, Proc. International Conference on Acoustics, Speech and Signal Processing, Vol. 1, 573-576, Orlando, FL, USA, May 2002.

8. Rezayee, A. and S. Gazor, "An adaptive KLT approach for speech enhancement," IEEE Trans. Speech Audio Processing, Vol. 9, 87-95, Feb. 2001.
doi:10.1109/89.902276

9. Mittal, U. and N. Phamdo, "Signal/noise KLT based approach for enhancing speech degraded by colored noise," IEEE Trans. Speech Audio Processing, Vol. 8, No. 2, 159-167, 2000.
doi:10.1109/89.824700

10. Deller, J. R., J. G. Proakis, and J. H. L. Hansen, Discrete-time Processing of Speech Signals, Prentice-Hall, 1997.

11. Boll, S. F., "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. Acoustics, Speech, and Signal Processing, Vol. 29, No. 2, 113-120, April 1979.

12. Weiss, M. R., E. Aschkenasy, and T. W. Parsons, "Processing speech signal to attenuate interference," Proc. IEEE Symp. Speech Recognition, 292-293, April 1974.

13. Lim, J. S. and A. V. Oppenheim, "Enhancement and band width compression of noisy speech," Proc. of the IEEE, Vol. 67, No. 12, 1586-1604, Dec. 1979.
doi:10.1109/PROC.1979.11540


© Copyright 2010 EMW Publishing. All Rights Reserved