The application of nonlinear spectral subtraction method on millimeter wave conducted speech enhancement

Mathematical Problems in Engineering

Volumn 2010, Issue , 2010, Pages

  Wang, Jian Qi ^a,b   Li, Sheng ^a   Jing, Xi Jing ^a  

^a FOURTH MILITARY MEDICAL UNIVERSITY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COLORED NOISE; ELECTRONIC NOISE; FREQUENCY NOISE; MILLIMETER WAVE RADAR; MMW RADAR; MULTIBAND; MUSICAL NOISE; NONUNIFORM; PERCEPTUAL EVALUATION; SPECTRAL SUBTRACTION METHODS; SPEECH ENHANCEMENT ALGORITHM; SPEECH INFORMATION; TIME-FREQUENCY DISTRIBUTIONS;

FREQUENCY BANDS; MILLIMETER WAVE DEVICES; MILLIMETER WAVES; SPEECH ENHANCEMENT;

RADAR;

EID: 77953486357     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2010/371782     Document Type: Article

References (22)

1. Boll S. F., Suppression of acoustic noise in speech using spectral subtraction IEEE Transactions on Speech and Audio Processing 1979 27 113 120
2. Berouti M. et al., Enhancement of speech corrupted by acoustic noise Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '79) 1979 208 211
3. Kamath S., Loizou P., A multi-band spectral subtraction method for enhancing speech corrupted by colored noise 4 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '02) 2002 4160 4164
4. Klein M., Kabal P., Signal subspace speech enhancement with perceptual post-filtering 1 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '02) 2002 537 540
5. Sameti H. et al., HMM-based strategies for enhancement of speech signals embedded in nonstationary noise IEEE Transactions on Speech and Audio Processing 1998 6 445 455
6. Donoho D. L., Johnstone I. M., Adapting to unknown smoothness via wavelet shrinkage Journal of the American Statistical Association 1995 90 432 1200 1224
7. Sheikhzadeh H., Abutalebi H., An improved wavelet-based speech enhancement system Proceedings of the 7th European Conference on Speech Communication and Technology (EUROSPEECH '01) 2001 1855 1858
8. Li S., Wang J., Niu M. et al., Millimeter wave conduct speech enhancement based on auditory masking properties Microwave and Optical Technology Letters 2008 50 2109 2114
9. Lockwood P., Boudy J., Experiments with a nonlinear spectral subtractor (NSS), hidden Markov models and projection, for robust recognition in cars Speech Communication 1992 11 215 228
10. Hansen J. H. L., Morphological constrained feature enhancement with adaptive cepstral compensation (MCE-ACC) for speech recognition in noise and Lombard effect IEEE Transactions on Speech and Audio Processing 1994 2 598 614
11. Liu H. et al., Application of spectral subtraction method on enhancement of electrolarynx speech Journal of the Acoustical Society of America 2006 120 398 406
12. Udrea R. M. et al., Multi-band Bark scale spectral over-subtraction for colored noise reduction 1 Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS '05) July 2005 Iasi, Romania 311 314
13. Udrea R. M. et al., Nonlinear spectral subtraction method for colored noise reduction using multi-band Bark scale Signal Processing 2008 88 1299 1303
14. Udrea R. M. et al., An improved spectral subtraction method for speech enhancement using a perceptual weighting filter Digital Signal Processing 2008 18 581 587
15. Li Z.-W., Millimeter wave radar for detecting the speech signal applications International Journal of Infrared and Millimeter Waves 1996 17 2175 2183
16. Li S. et al., Nonacoustic sensor speech enhancement based on wavelet packet entropy Proceedings of the World Congress on Computer Science and Information Engineering 2009 447 450
17. Udrea R. M., Ciochina S., Speech enhancement using spectral over-subtraction and residual noise reduction 2 Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS '03) 2003 311 314
18. Wang J. Q., Zheng C. X., Jin X. J. et al., Study on a non-contact Life Parameter Detection System using millimeter wave Space Medicine Medical Engineering 2004 17 157 161
19. Wang J., Zheng C., Lu G. et al., A new method for identifying the life parameters via radar EURASIP Journal on Advances in Signal Processing 2007 2007 8
20. Cohen I., Berdugo B., Noise estimation by minima controlled recursive averaging for robust speech enhancement IEEE Signal Processing Letters 2002 9 12 15
21. Cohen I., Berdugo B., Speech enhancement for non-stationarynoise environments Signal Processing 2001 81 2403 2418
22. Rangachari S., Loizou P. C., A noise-estimation algorithm for highly non-stationary environments Speech Communication 2006 220 231