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Introduction

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1.4 Further Reading

  1. H. Drucker, “Speech processing in a high ambient noise environment,” IEEE Trans. Audio Electroacoust., vol. AU-16, pp. 165–168, June 1968.

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  2. M. M. Sondhi, C. E. Schmidt, and L. R. Rabiner, “Improving the quality of a noisy speech signal,” Bell Syst. Tech. J., vol. 60, pp. 1847–1859, Oct. 1981.

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  3. J. S. Lim, ed., Speech Enhancement. Prentice-Hall, Inc, NJ, 1983.

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  4. M. Miyoshi and Y. Kaneda, “Inverse filtering of room acoustics,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, pp. 145–152, Feb. 1988.

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  5. J. D. Gibson, B. Koo, and S. D. Gray, “Filtering of colored noise for speech enhancement and coding,” IEEE Trans. Signal Processing, vol. 39, pp. 1732–1742, Aug. 1991.

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  6. S. Furui and M. M. Sondhi, eds., Advances in Speech Signal Processing. Marcel Dekker, NY, 1992.

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  7. Y. Ephraim, “Statistical model based speech enhancement systems,” Proc. of the IEEE, vol. 80, pp. 1526–1555, Oct. 1992.

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  8. O. Cappé, “Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor,” IEEE Trans. Speech Audio Processing, vol. 2, pp. 345–349, Apr. 1994.

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  9. S. Gannot, D. Burshtein, and E. Weinstein, “Iterative and sequential Kalman filter-based speech enhancement algorithms,” IEEE Trans. Speech Audio Processing, vol. 6, pp. 373–385, July 1998.

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  10. S. Doclo and M. Moonen, “GSVD-based optimal filtering for single and multimicrophone speech enhancement,” IEEE Trans. Signal Processing, vol. 50, pp. 2230–2244, Sept. 2002.

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  11. A. Cichocki and S. Amari, Adaptive Blind Signal and Image Processing. John Wiley & Sons, 2002.

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  12. J. Chen, Y. Huang, and J. Benesty, “Filtering techniques for noise reduction and speech enhancement,” in Adaptive Signal Processing-Applications to Real-World Problems, J. Benesty and Y. Huang, eds., chapter 5, pp. 129–154, Springer-Verlag, Berlin, 2003.

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  13. R. Martin, “Statistical methods for the enhancement of noisy speech,” in Proc. IWAENC, 2003, pp. 1–6.

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  14. Y. Huang and J. Benesty, eds., Audio Signal Processing for Next-Generation Multimedia Communication Systems. Kluwer Academic Publishers, Boston, MA, 2004.

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  15. K. Hermus and P. Wambacq, “Assessment of signal subspace based speech enhancement for noise robust speech recognition,” in Proc. IEEE ICASSP, 2004, pp. I-945–I-948.

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References

  1. M. R. Schroeder, U.S. Patent No 3,180,936, filed Dec. 1, 1960, issued Apr. 27, 1965.

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  2. M. R. Schroeder, U.S. Patent No 3,403,224, filed May 28, 1965, issued Sept. 24, 1968.

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  3. S. F. Boll, “Suppression of acoustic noise in speech using spectral subtraction,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 27, pp. 113–120, Apr. 1979.

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  4. M. Berouti, R. Schwartz, and J. Makhoul, “Enhancement of speech corrupted by acoustic noise,” in Proc. IEEE ICASSP, 1979, pp. 208–211.

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  5. J. S. Lim and A. V. Oppenheim, “Enhancement and bandwidth compression of noisy speech,” Proc. of the IEEE, vol. 67, pp. 1586–1604, Dec. 1979.

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  6. R. J. McAulay and M. L. Malpass, “Speech enhancement using a soft-decision noise suppression filter,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 28, pp. 137–145, Apr. 1980.

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  7. Y. Ephraim and D. Malah, “Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 32, pp. 1109–1121, Dec. 1984.

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  8. E. J. Diethorn, “Subband noise reduction methods for speech enhancement,” in Audio Signal Processing for Next-Generation Multimedia Communication Systems, Y. Huang and J. Benesty, eds., chapter 3, pp. 91–115, Kluwer Academic Publishers, Boston, MA, 2004.

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  9. Y. Ephraim and H. L. Van Trees, “A signal subspace approach for speech enhancement,” IEEE Trans. Speech Audio Processing, vol. 3, pp. 251–266, July 1995.

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  10. K. K. Paliwal and A. Basu, “A speech enhancement method based on Kalman filtering,” in Proc. IEEE ICASSP, 1987, pp. 177–180.

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Benesty, J., Makino, S., Chen, J. (2005). Introduction. In: Speech Enhancement. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27489-8_1

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  • DOI: https://doi.org/10.1007/3-540-27489-8_1

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