Speech enhancement in nonstationary noise environments using noise properties

Speech Communication

Volumn 48, Issue 1, 2006, Pages 96-109

  Manohar, Kotta ^a   Rao, Preeti ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Nonstationary noise; Spectral subtraction; Speech enhancement

Indexed keywords

ALGORITHMS; ATTENUATION; ELECTRIC DISTORTION; NOISE ABATEMENT; SIGNAL TO NOISE RATIO;

NONSTATIONARY NOISE; SPECTRAL SUBTRACTION; SPEECH ENHANCEMENT;

SPEECH PROCESSING;

EID: 28644446734     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2005.08.002     Document Type: Article

References (28)

1. Accardi, A.J., Cox, R.V., 1999. A modular approach to speech enhancement with an application to speech coding. In: Proc. ICASSP-99.
2. Attias, H., Platt, J.C., Acero, A., Deng, L., 2001. Speech denoising and dereverbertaion using probabilistic models. In: Advances in Neural Information Processing Systems, Vol. 13, pp. 758-764.
3. C. Benoit, M. Grice, and V. Hazan The SUS test: a method for the assessment of text-to-speech synthesis intelligibility using semantically unpredictable sentences Speech Comm. 18 1996 381 392
4. Berouti, M., Schwartz, R., Makhoul, J., 1979. Enhancement of speech corrupted by acoustic noise. In: Proc. ICASSP-79, pp. 208-211.
5. I. Cohen Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging IEEE Trans. Speech Audio Process. 11 5 2003 466 475
6. M. Cooke, P. Green, L. Josifovski, and A. Vizinho Robust automatic speech recognition with missing and unreliable acoustic data Speech Comm. 34 2001 267 285
7. Y. Ephraim, and D. Malah Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator IEEE Trans. Acoust. Speech Signal Process. ASSP-32 1984 1109 1121
8. Essential Indian Sound Effects, CD-ROM, BMG Crescendo (India) Ltd., 1999.
9. Fisher, W.M., Doddington, G.R., Goudie-Marshall, K.M., 1986. The DARPA speech recognition research database: specification and status. In: Proc. DARPA Speech Recognition Workshop, 1986.
10. Hansen, J.H.L., Pellom, B.L., 1998. An effective quality evaluation protocol for speech enhancement algorithms. In: Proc. ICSLP-1998.
11. Hirsch, H.G., Ehrlicher, C., 1995. Noise estimation methods for robust speech recognition. In: Proc. ICASSP-1995, pp. 153-156.
12. Itoh, K., Mizushima, M., 1997. Environmental noise reduction based on speech/non-speech identification for hearing aids. In: Proc. ICASSP-1997.
13. J.D. Johnston Transform coding of audio signals using perceptual noise criteria IEEE J. Selected Areas Comm. 6 2 1988 314 323
14. J.S. Lim, and A.V. Oppenheim Enhancement and bandwidth compression of noisy speech Proc. IEEE 67 1979 1586 1604
15. Malah, D., Cox, R.V., Accardi, A.J., 1999. Tracking speech-presence uncertainty to improve speech enhancement in nonstationary noise environments. In: Proc. ICASSP-99, pp. 789-792.
16. R. Martin Noise power spectral density estimation based on optimal smoothing and minimum statistics IEEE Trans. Speech Audio Process. 9 2001 504 512
17. Marzinzik, 2000. Noise reduction schemes for digital hearing aids and their use for the hearing impaired. Ph.D. dissertation, University of Oldenburg.
18. M. Marzinzik, and B. Kollmeier Speech pause detection for noise spectrum estimation by tracking power envelope dynamics IEEE Trans. Speech Audio Process. 10 2002 109 118
19. Objective measurement of active speech level. ITU-T Recommendation P.56, March 1993.
20. Perceptual Evaluation of Speech Quality (PESQ), an objective method for end-to-end speech quality assessment of narrowband telephone networks and speech codecs. ITU-T Recommendation P.862, February 2001.
21. S.R. Quackenbush, T.P. Barnwell, and M.A. Clements Objective Measures of Speech Quality 1988 Prentice-Hall NJ
22. Renevey, P., Drygajlo, A., 2001. Entropy based voice activity detection in very noisy conditions. In: Proc. Eurospeech-2001, pp. 1887-1890.
23. C. Ris, and S. Dupont Assessing local noise level estimation methods: application to noise robust ASR Speech Comm. 34 2001 141 158
24. Seltzer, M.L., Raj, B., Stern, R.M., 2000. Classifier-based mask estimation for missing feature methods of robust speech recognition. In: Proc. ICSLP-2000.
25. Signal Processing Information Base, "Noise data". Available from: < http://spib.rice.edu/spib/select_noise.html >, February 2004.
26. Srinivasan, S., Samuelsson, J., Kleijn, W.B., 2003. Speech enhancement using a priori information. In: Proc. Eurospeech-2003.
27. Stahl, V., Fischer, A., Bippus, R., 2000. Quantile based noise estimation for spectral subtraction and wiener filtering. In: Proc. ICASSP-2000, pp.1875-1878.
28. Yao, K., Lee, T.-W., 2004. Speech enhancement by perceptual filter with sequential noise parameter estimation. In: Proc. ICASSP-2004, pp. 693-696.