Environment-optimized speech enhancement

IEEE Transactions on Audio, Speech and Language Processing

Volumn 16, Issue 4, 2008, Pages 825-834

  Fingscheidt, Tim ^a   Suhadi, Suhadi ^a   Stan, Sorel ^b,c  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

^b BenQ Mobile   (Germany)

^c Bardehle Pagenberg   (Germany)

Author keywords

Noise reduction; Speech enhancement

Indexed keywords

A-PRIORI; AUTOMOTIVE ENVIRONMENTS; CLEAN SPEECH; ENHANCEMENT TECHNIQUES; MINIMUM MEAN-SQUARE ERRORS; NOISE ATTENUATIONS; NOISE REDUCTION; NOISE SPECTRUM; NOISY SPEECH; PARAMETERIZED; POSTERIORI; PROBABILITY DENSITIES; SIGNAL-TO-NOISE RATIOS; SPECTRAL AMPLITUDES; SPEECH DISTORTIONS; SPEECH ENHANCEMENT SYSTEMS; STATE-OF-THE-ART APPROACHES; STATISTICAL CHARACTERISTICS; SUB BANDS; WIENER FILTERS;

ACOUSTIC INTENSITY; ACOUSTIC NOISE MEASUREMENT; COST FUNCTIONS; PROBABILITY DENSITY FUNCTION; SIGNAL TO NOISE RATIO; WIRELESS TELECOMMUNICATION SYSTEMS;

SPEECH ENHANCEMENT;

EID: 64849116094     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2008.920062     Document Type: Article

References (25)

1. P. Scalart and J. Filho, "Speech enhancement based on a priori signal to noise estimation," in Proc. ICASSP'96, Atlanta, GA, May 1996, pp. 629-632.
2. 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.
3. Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean-square error log-spectral amplitude estimator," IEEE Trans. Acoust., Speech, Signal Process., vol. 33, no. 2, pp. 443-445, Apr. 1985.
4. P. Loizou, "Speech enhancement based on perceptually motivated Bayesian estimators of the magnitude spectrum," IEEE Trans. Speech Audio Process., vol. 13, no. 5, pp. 857-869, Sep. 2005.
5. T. Lotter and P. Vary, "Noise reduction by maximum a posteriori spectral amplitude estimation with supergaussian speech modeling," in Proc. IWAENC, Kyoto, Japan, Sep. 2003, pp. 83-86.
6. T. Lotter and P. Vary, "Speech enhancement by map spectral amplitude estimation using a super-Gaussian speech model," EURASIP J. Appl. Signal Process., vol. 7, pp. 1110-1126, 2005.
7. R. Martin, "Speech enhancement using MMSE short time spectral estimation with gamma distributed speech priors," in Proc. ICASSP'02, Orlando, FL, May 2002, pp. 504-512.
8. R. Martin and C. Breithaupt, "Speech enhancement in the DFT domain using Laplacian speech priors," in Proc. IWAENC'03, Kyoto, Japan, Sep. 2003, pp. 87-90.
9. B. Chen and P. Loizou, "Speech enhancement using a MMSE short time spectral amplitude estimator with laplacian speech modelling," in Proc. ICASSP'05, Philadelphia, PA, May 2005, pp. 1097-1100.
10. I. Potamitis, N. Fakotakis. and G. Kokkinakis. "A trainable speech enhancement technique based on mixture models for speech and noise," in Proc. Eurospeech'03, Geneva, Switzerland, Sep. 2003, pp. 573-576.
11. G. Ding, X. Wang, Y. Cao, F. Ding, and Y. Tang, "Speech enhancement based on speech spectral complex Gaussian mixture model," in Proc. ICASSP'05, Philadelphia, PA, Mar. 2005, pp. 165-168.
12. Y. Cheng, D. O'Shaughnessy, and P. Kabal, "Speech enhancement using a statistically derived filter mapping," in Proc. Int. Conf. Spoken Lang. Process., Banff, AB, Canada, Oct. 1992, pp. 515-518.
13. J. Porter and S. Boll, "Optimal estimators for spectral restoration of noisy speech," in Proc. ICASSP'84, San Diego, CA, Mar. 1984, pp. 18A.2.1-18A.2.4.
14. T. Fingscheidt and S. Suhadi. "Data-driven speech enhancement," in Proc. ITG-Fachtagung "Sprachkommunikation", Kiel, Germany, Apr. 2006, VDE-Verlag.
15. S. Suhadi, S. Stan, and T. Fingscheidt, "A novel environment-dependent speech enhancement method with optimized memory footprint," in Proc. Int. Conf. Spoken Lang. Process., Pittsburgh, PA, Sep. 2006, pp. 249-252.
16. J. Erkelens, J. Jensen, and R. Heusdens, "A general optimization procedure for spectral speech enhancement methods," in Proc. EU-SIPCO'06, Florence, Italy, Sep. 2006, CD-ROM.
17. J. Erkelens, J. Jensen, and R. Heusdens, "A data-driven approach to optimizing spectral speech enhancement methods for various error criteria," Proc. Speech Commun., Special Iss. Speech Enhancement, vol. 49, no. 7-8, pp. 530-541, July-Aug. 2007.
18. S. Haykin, Adaptive Filter Theory, 2nd ed. Englewood Cliffs, NJ: Prentice-Hall, 1991.
19. R. Martin, "Noise power spectral density estimation based on optimal smoothing and minimum statistics," IEEE Trans. Acoust., Speech, Signal Process., vol. 9, no. 5, pp. 504-512, Jul. 2001.
20. D. Malah, R. Cox, and A. Accardi, "Tracking speech-presence uncertainty to improve speech enhancement in nonstationary noise environments," in Proc. ICASSP'99, Phoenix, AZ, Mar. 1999, pp. 789-792.
21. J. Li, M. Akagi, and Y. Suzuki, "Improved hybrid microphone array post-filter by integrating a robust speech absence probability estimator for speech enhancement," in Proc. ICSLP'06, Pittsburgh, PA, Sep. 2006, pp. 2130-2133.
22. I. Cohen, "Optimal speech enhancement under signal presence uncertainty using log-spectral amplitude estimator," IEEE Signal Pivcess. Lett., vol. 9, no. 4, pp. 112-116, Apr. 2002.
23. P. Wolfe and S. Godsill, "Simple alternatives to the Ephraim and Malah suppression rule for speech enhancement," in Proc. 11th IEEE Signal Process. Workshop Statist. Signal Pivcess., Singapore, Aug. 2001, pp. 496-499.
24. R. Carroll and D. Ruppert, Transformation and Weighting in Regression. New York: Chapman &Hall, 1988.
25. S. Gustafsson, "Enhancement of audio signals by combined acoustic echo cancellation and noise reduction," Ph.D. dissertation, Inst. Commun. Equipment Data Process., Technical Univ. of Aachen, Aachen, Germany, 1999, Aachener Beitrage zu digitalen Nachrichten - systemen, P. Vary, Ed.