On causal algorithms for speech enhancement

IEEE Transactions on Audio, Speech and Language Processing

Volumn 14, Issue 3, 2006, Pages 764-773

  Grancharov, Volodya ^a,b   Samuelsson, Jonas ^a   Kleijn, Bastiaan ^a,b  

^a IEEE   (Sweden)

^b ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Autoregressive (AR) model; Causal filter; Kalman filter; Kalman smoother; Optimal lag; Speech enhancement

Indexed keywords

CAUSAL FILTERS; KALMAN SMOOTHER; OPTIMAL LAG; SIGNAL STATISTICS;

ACOUSTIC SIGNAL PROCESSING; CONSTRAINT THEORY; KALMAN FILTERS; QUALITY CONTROL; SPEECH ENHANCEMENT;

ALGORITHMS;

EID: 34047265321     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2005.857802     Document Type: Article

References (40)

1. S. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. Acoust., Speech. Signal Process., vol. ASSP-27, no. 2, pp. 113-120, Apr. 1979.
2. R. McAulay and M. Malpass, "Speech enhancement using a soft-decision noise suppression filter," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-28, no. 2, pp. 137-145, Apr. 1980.
3. J. Lim and A. Oppenheim, "All-pole modeling of degraded speech," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-26, no. 3, pp. 197-210, Jun. 1978.
4. Y. Ephraim and D. Malah, "Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator," IEEE Trans. Acoust., Speech, Signal Process., vol. 32, no. 6, pp. 1109-1121, Dec. 1984.
5. D. Tsoukalas, J. Mourjopoulos, and G. Kokkinakis, "Speech enhancement based on audible noise suppression," IEEE Trans. Speech Audio Process., vol. 5, no. 6, pp. 497-514, Nov. 1997.
6. N. Virag, "Single channel speech enhancement based on masking properties of the human auditory system," IEEE Trans. Speech, Audio Process., vol. 7, no. 2, pp. 126-137, Mar. 1999.
7. T. Sreenivas and P. Kimapure, "Codebook constrained Wiener filtering for speech enhancement," IEEE Trans. Speech Audio Process., vol. 4, no. 5, pp. 383-389, Sep. 1996.
8. J. Hansen and M. Clements, "Constrained iterative speech enhancement with application to speech recognition," IEEE Trans. Signal Process., vol. 39, no. 4, pp. 795-805, Apr. 1991.
9. Y. Ephraim, "A Bayesian estimation approach for speech enhancement using hidden Markov models," IEEE Trans. Signal Process., vol. 40, no. 4, pp. 725-735, Apr. 1992.
10. S. Srinivasan, J. Samuelsson, and W. B. Kleijn, "Speech enhancement using a-priori information," in Proc. Eurospeech, vol. 2, Geneva, Switzerland, Sep. 2003, pp. 1405-1408.
11. T. Soderstrom, Discrete-Time Stochastic Systems, 2nd ed. London, U.K.: Springer-Verlag, 2002.
12. K. Paliwal and A. Basu, "A speech enhancement method based on Kalman filtering," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol. 12, Dallas, TX, Apr. 1987, pp. 177-180.
13. J. Gibson, B. Koo, and S. Gray, "Filtering of colored noise for speech enhancement and coding," IEEE Trans. Signal Process., vol. 39, no. 8, pp. 1732-1742, Aug. 1991.
14. Z. Goh, K.-C. Tan, and B. Tan, "Kalman-filtering speech enhancement method based on a voiced-unvoiced speech model," IEEE Trans. Speech, Audio Process., vol. 7, no. 5, pp. 510-524, Sep. 1999.
15. M. Niedzwiecki and K. Cisowski, "Adaptive scheme for elimination of broad-band noise and impulsive disturbances from AR and ARMA signals," IEEE Trans. Signal Process., vol. 44, no. 3, pp. 528-537, Mar. 1996.
16. S. Gannot, D. Burshtein, and E. Weinstein, "Iterative and sequential Kalman filter-based speech enhancement algorithms," IEEE Trans. Speech, Audio Process., vol. 6, no. 4, pp. 373-385, Jul. 1998.
17. M. Gabrea, "An adaptive Kalman filter for the enhancement of speech signals," in Proc. Int. Conf. Spoken Language Processing, Jeju, Korea, Oct. 2004, pp. 2709-2713.
18. P. Sorqvist, P. Handel, and B. Ottersten, "Kalman filtering for low distortion speech enhancement in mobile communication," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol. 2, Munich, Germany, Apr. 1997, pp. 1219-1222.
19. T. Ohya, H. Suda, and T. Miki, "5.6 kbits/s PSI-CELP of the half-rate PDC speech coding standard," in Proc. IEEE 44th Vehicular Technology Conf., vol. 3, Stockholm, Sweden, Jun. 1994, pp. 1680-1684.
20. S. Quackenbush, T. Barnwell, and M. Clements, Objective Measures of Speech Quality. Englewood Cliffs, NJ: Prentice-Hall, 1988.
21. T. Kailath, A. Sayed, and B. Hassiby, Linear Estimation. Englewood Cliffs, NJ: Prentice-Hall, 2000.
22. B. D. O. Anderson and J. B. Moore, Optimal Filtering. Englewood Cliffs, NJ: Prentice-Hall, 1979.
23. B. C. J. Moore, An Introduction to the Psychology of Hearing. New York: Academic, 1989.
24. Speech Coding and Synthesis, W. B. Kleijn and K. K. Paliwal, Eds., Elsevier, Amsterdam, The Netherlands, 1995.
25. Coding of Having Pictures and Associated Audio for Digital Storage Media at up to About 1.5 Mbit/s - Part 3: Audio, ISO/IEC IS11172-3, Nov. 1992.
26. V. Grancharov, J. Samuelsson, and W. B. Kleijn, "Noise-dependent post-filtering," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol. 1, Montreal, QC, Canada, May 2004, pp. 457-460.
27. W. Wen-Rong and C. Po-Cheng, "Subband Kalman filtering for Speech enhancement," IEEE Trans. Circuits Syst. II, vol. 45, no. 8, pp. 1072-1083, Aug. 1998.
28. G. Schuller, B. Yu, D. Huang, and B. Edler, "Perceptual audio coding using adaptive pre- and post-filters and lossless compression," IEEE Trans. Speech Audio Process., vol. 10, no. 6, pp. 379-390, Sep. 2002.
29. J. Wei, L. Du, Z. Yan, and H. Zeng, "Improved Kalman filter-based speech enhancement," in Proc. Eurospeech, Geneva, Switzerland, 2003, pp. 549-552.
30. N. Ma, M. Bouchard, and R. Goubran, "Perceptual Kalman filtering for speech enhancement in colored noise," in Proc. IEEE Int. Conf. Acoustics. Speech, Signal Process., vol. 1, Montreal, QC, Canada, 2004, pp. 17-21.
31. M. Klein and P. Kabal, "Signal subspace speech enhancement with perceptual post-filtering," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol. 1, Orlando, FL, 2002, pp. 537-540.
32. "Method for Objective Measurements of Perceived Audio Quality, ITU-R Recommendations BS.1387,", 1999.
33. "Acoustic-Phonetic Continuous Speech Corpus, NIST Speech Disc 1-1.1," DARPA-TIMIT, 1990.
34. R. Gray, A. Buzo, A. Gray, and Y. Matsuyama, "Distortion measures for speech processing," IEEE Trans. Signal Process., vol. SP-28, pp. 367-376, Aug. 1980.
35. A. Rix, J. Beerends, M. Hollier, and A. Hekstra, "Perceptual evaluation of speech quality (PESQ) - A new method for speech quality assessment of telephone networks and codecs," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol. 2, Salt Lake City, UT, 2001, pp. 749-752.
36. R. Martin, "Noise power spectral density estimation based on optimal smoothing and minimum statistics," IEEE Trans. Speech Audio Process., vol. 9, no. 5, pp. 504-512, Jul. 2001.
37. V. Grancharov, S. Srinivasan, J. Samuelsson, and W. B. Kleijn, "Robust spectrum quantization for LP parameter enhancement," in Proc. XII European Signal Processing Conf, Vienna, Austria, Sep. 2004, pp. 1951-1954.
38. K. Paliwal, "A noise-compensated long correlation matching method for AR spectral estimation of noisy signals," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol. 11, Tokyo, Japan, May 1986, pp. 1369-1372.
39. _, "Estimation of noise variance from the noisy AR signal and its application in speech enhancement," IEEE Trans. Acoust., Speech, Signal Process., vol. 36, no. 2, pp. 292-294, Feb. 1988.
40. "Method for the Subjective Assessment of Intermediate Quality Level of Coding Systems, ITU-R Recommendation BS.1534,", 2001.