Single-channel speech enhancement

Noise Reduction in Speech Applications

Volumn , Issue , 2002, Pages 155-178

  Eatwell, Graham P ^a  

^a Adaptive Audio Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84997931787     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (26)

1. Lim, S.J. and Oppenheim, A.V., Enhancement and bandwidth compression of noisy speech, Proc. IEEE, 67(12), 1586–1604, 1979.
2. Ephraim, Y., Statistical-model-based speech enhancement systems, Proc. IEEE, 80(10), 1524–1555, 1992.
3. Ephraim, Y., Malah, D., and Juang, B.H., Speech enhancement based on hidden Markov modeling, in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Glasgow, Scotland, 1989, 353–356.
4. Sameti, H., Sheikhzadeh, H., and Deng, L., HMM-based strategies for enhancement of speech signals embedded in non-stationary noise, IEEE Trans. on Speech and Audio Processing, 6(5), 445–455, 1998.
5. Jarvinen, J.J., Noise attenuation system, U.S. Patent 5,406,635, April 1995.
6. Graupe, D. and Causey, G.D., Method and means for adaptively filtering near-stationary noise from an information bearing signal, U.S. Patent 4,185,168, January 1980.
7. Schroeder, M.R. Processing of communications signal to reduce effects of noise, U.S. Patent 3,403,224, September 1968.
8. Weiss, M.R., Aschkenasy, E., and Parsons, T.W., Processing speech signals to attenuate interference, in Proc. IEEE Symposium on Speech Recognition, Carnegie Mellon University, April 1974, 292–295.
9. Weiss, M.R., Aschkenasy, E., and Parsons, T.W., Study and development of the INTEL technique for improving speech intelligibility, Nicolet Scientific Corp., Final Report NSC-FR/4023, December 1974.
10. Boll, S., Suppression of acoustic noise in speech using spectral subtraction, IEEE Trans. on Acoustics, Speech and Signal Processing, ASSP-27(2), 113–120, April 1979.
11. Ephraim, Y. and Malah, D., Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator, IEEE Trans. on Acoustics, Speech and Signal Processing, ASSP-32(6), 1109–1121, December 1984.
12. Eatwell, G.P. and Davis, K.P., Adaptive speech filter, U.S. Patent 5,768,473, June 1998.
13. Hansen, J.H.L. and Clements, M.A., Iterative speech enhancement with spectral constraints, in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, April 1987, 189–192.
14. Quatieri, T.F. and McAulay, R.J., Noise reduction using a soft-decision sine-wave vector quantizer, in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Albuquerque, NM, 2, 821–824, 1990.
15. Deller, J.R. et al., Discrete-Time Processing of Speech Signals, Macmillan, New York, 1993, chap. 12.
16. Epraim, Y., Speech enhancement using state dependent dynamical system model, in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, San Francisco, 1, 1992, 289–292.
17. McAulay, R.J. and Malpass, M.L., Speech enhancement using a soft-decision noise suppression filter, IEEE Trans. on Acoustics, Speech and Signal Processing, ASSP-28(2), April 1980.
18. Ephraim, Y. and Van Trees, H.L., A signal subspace approach for speech enhancement, IEEE Trans. on Speech and Audio Processing, 3(4), 251–266, 1995.
19. Asano, F. et al., Speech enhancement based on the subspace method, IEEE Trans. on Speech and Audio Processing, 8(5), 497–507, 2000.
20. Eatwell, G.P., Noise reduction filter, U.S. Patent 5,742,694, April 1998.
21. Widrow, B. and Stearns, S.D., Adaptive Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, 1985.
22. Koo, B., Gibson, J.D., and Gray, S.D., Filtering of colored noise for speech enhancement and coding, IEEE Trans. on Signal Processing, 39(8), 1732–1742, 1991.
23. Chen, W.Y. and Haddad, R.A., Method and filter for enhancing a noisy speech signal, U.S. Patent 5,148,488, September 1992.
24. Tamura, S. and Nakamura, M., Improvements to the noise reduction neural network, in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, 2, 825–828, 1990.
25. Aritsuka T. et al., Noise reduction system using neural network, U.S. Patent 5,185,848, February 1993.
26. Haykin, H., Neural Networks, IEEE Press, Macmillan College Publishing, New York, 1994.