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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2008-09-18
Speech Enhancement Using an Adaptive Wiener Filtering Approach
By
M. Abd El-Fattah,

    Dr. M. Abd El-Fattah

    Department of Electronics and Electrical Communications

    Menoufia University

    Egypt

    Homepage

Moawad Ibrahim Dessouky,

    Dr. Moawad Ibrahim Dessouky

    Department of Electronics and Electrical Communication Engineering

    Menoufia University

    Egypt

    Homepage

Salah Diab,

    Dr. Salah Diab

    Department of Electronics and Electrical Communications

    Menoufia University

    Egypt

    Homepage

Fathi Abd El-Samie

    Dr. Fathi Abd El-Samie

    Department of Electronics and Electrical Communication Engineering

    Menoufia University

    Egypt

    Homepage

Progress In Electromagnetics Research M, Vol. 4, 167-184, 2008
doi:10.2528/PIERM08061206 | Google Scholar

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.
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Citation
M. Abd El-Fattah, Moawad Ibrahim Dessouky, Salah Diab, and Fathi 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        Google Scholar

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.        Google Scholar

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.        Google Scholar

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

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        Google Scholar

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        Google Scholar

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.        Google Scholar

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.        Google Scholar

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        Google Scholar

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