Suppression of Acoustic Noise in Speech Using Spectral Subtraction

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 27, Issue 2, 1979, Pages 113-120

  Boll, Steven F ^a  

^a UNIVERSITY OF UTAH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH;

EID: 0018455310     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASSP.1979.1163209     Document Type: Article

References (21)

1. B. Gold, “Robust speech processing,” M.I.T. Lincoln Lab., Tech. Note 1976-6, DDC AD-A01Z P99/0, Jan. 27, 1976.
2. M. R. Sambur and N. S. Jayant, “LPC analysis/synthesis from speech inputs containing quantizing noise or additive white noise,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-24, pp. 488–494, Dec. 1976.
3. D. Coulter, private communication.
4. S. F. Boll, “Improving linear prediction analysis of noisy speech by predictive noise cancellation,” in Proc. IEEE Int. Conf. on Acoust., Speech, Signal Processing, Philadelphia, PA, Apr. 12–14, 1976, pp. 10–13.
5. J. S. Lim and A. V. Oppenheim, “All pole modeling of degraded speech,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-26, pp. 197–210, June 1978.
6. B. Gold, “Digital speech networks,” Proc. IEEE, vol. 65, pp. 1636–1658, Dec. 1977.
7. B. Beek, E. P. Neuberg, and D. C. Hodge, “An assessment of the technology of automatic speech recognition for military applications,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-25, pp. 310–322, Aug. 1977.
8. J. D. Markel, “Text independent speaker identification from a large linguistically unconstrained time-spaced data base,” in Proc. IEEE Int. Conf. on Acoust., Speech, Signal Processing, Tulsa, OK, Apr. 1978, pp. 287–291.
9. B. Widrow et al., “Adaptive noise cancelling: Principles and applications,” Proc. IEEE, vol. 63, pp. 1692–1716, Dec. 1975.
10. S. F. Boll and D. Pulsipher, “Noise suppression methods for robust speech processing,” Dep. Comput. Sci., Univ. Utah, Salt Lake City, Semi-Annu. Tech. Rep., Utec-CSc-77-202, pp. 50–54, Oct. 1977.
11. W. D. Voiers, A. D. Sharpley, and C. H. Helmsath, “Research on diagnostic evaluation of speech intelligibility,” AFSC, Final Rep., Contract AF19628-70-C-0182, 1973.
12. M. R. Weiss, E. Aschkenasy, and T. W. Parsons, “Study and development of the INTEL technique for improving speech intelligibility,” Nicolet Scientific Corp., Final Rep. NSC-FR/4023, Dec. 1974.
13. J. Makhoul and J. Wolf, “Linear prediction and the spectral analysis of speech,” Bolt, Beranek, and Newman Inc., BBN Rep. 2304, NTIS No. AD-749066, pp. 172–185, 1972.
14. O. Brigham, The Fast Fourier Transform. Englewood Cliffs, NJ: Prentice-Hall, 1974.
15. J. Allen, “Short term spectral analysis, synthesis, and modification by discrete Fourier transform,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-25, pp. 235–239, June 1977.
16. Dynastat Inc., Austin, TX 78705.
17. S. F. Boll, “Selected methods for improving synthesis speech quality using linear predictive coding: System description, coefficient smoothing and STREAK,” Dep. Comput. Sci., Univ. Utah, Salt Lake City, UTEC-CS-74-151, Nov. 1974.
18. J. D. Markel and A. H. Gray, Linear Prediction of Speech. New York: Springer-Verlag, 1976, pp. 206–210.
19. In-house research, Dynastat Inc., Austin, TX.
20. W. D. Voiers, “Diagnostic acceptability measure for speech communication systems,” in Proc. Int. Conf. on Acoust., Speech, Signal Processing, Hartford, CT, May 1977, pp. 204–207.
21. S. F. Boll, “Suppression of noise in speech using the SABER method,” in Proc. IEEE Int. Conf. on Acoust., Speech, Signal Processing, Tulsa, OK, Apr. 1978, pp. 606–609.