Millimeter wave conduct speech enhancement based on auditory masking properties

Microwave and Optical Technology Letters

Volumn 50, Issue 8, 2008, Pages 2109-2114

  Li, S ^a,b   Wang, J Q ^a   Niu, M ^a   Liu, T ^a   Jing, X J ^a  

^a FOURTH MILITARY MEDICAL UNIVERSITY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Auditory masking; Non air conduct; Speech enhancement, millimeter wave

Indexed keywords

ADAPTIVE ALGORITHMS; FOOD ADDITIVES; MILLIMETER WAVE DEVICES; MILLIMETER WAVES; SPEECH; SPEECH PROCESSING;

APPLICATIONS.; AUDITORY MASKING; AUDITORY SYSTEMS; BACKGROUND NOISES; HUMAN LISTENERS; MILLIMETER-WAVE; MMW RADARS; NOISE REDUCTIONS; NON-AIR CONDUCT; RESIDUAL NOISES; SPECTRAL SUBTRACTIONS; SPEECH DISTORTION; SPEECH ENHANCEMENT, MILLIMETER WAVE;

SPEECH ENHANCEMENT;

EID: 46049091423     PISSN: 08952477     EISSN: None     Source Type: Journal    
DOI: 10.1002/mop.23588     Document Type: Article

References (28)

1. S. Li, R.C. Scherer, M. Wan, S. Wang, and H. Wu, The effect of glottal angle on intraglottal pressure, J Acoust Soc Am 119 (2006), 539-548.
2. Numerical study of the effects of inferior and superior vocal fold surface angles on vocal fold pressure distributions, J Acoust Soc Am 119 (2006), 3003-3010.
3. T. Yanagisawa and K. Furihata, Pickup of speech signal utilization of vibration transducer under high ambient noise, J Acoust Soc Jpn 31 (1975), 213-220.
4. Z.-W. Li, Millimeter wave radar for detecting the speech signal applications, Int J Infrared Millimeter Waves 17 (1996), 2175-2183.
5. J.F. Holzrichter, G.C. Burnett, and L.C. Ng, Speech articulator measurements using low power em-wave sensors, J Acoust Soc Am 103 (1998), 622-625.
6. R. Hu and B. Raj, A robust voice activity detector using an acoustic doppler radar, IEEE Workshop on Automatic Speech Recognition and Understanding, 2005, pp. 319-324.
7. T.F. Quatieri, K. Brady, D. Messing, and J.P. Campbell, Exploiting nonacoustic sensors for speech encoding, IEEE Trans Audio Speech Lang Process 14 (2006), 533-544.
8. S.F. Boll, Suppression of acoustic noise in speech using spectral subtraction, IEEE Trans Acoust Speech Signal Process 27 (1979), 113-120.
9. P. Lockwood and J. Boudy, Experiments with a nonlinear spectral subtractor (nss), hidden markov models and projection, for robust recognition in cars, Speech Commun 11 (1992), 215-228.
10. J.H.L. Hansen, Morphological constrained feature enhancement with adaptive cepstral compensation (mce-acc) for speech recognition in noise and lombard effect, IEEE Trans Speech Audio Process 2 (1994), 598-614.
11. H. Liu, Q. Zhao, M. Wan, and S. Wang, Application of spectral subtraction method on enhancement of electrolarynx speech, J Acoust Soc Am 120 (2006), 398-406.
12. S. Kamath and P. Loizou, A multi-band spectral subtraction method for enhancing speech corrupted by colored noise, IEEE Int Conf Acoust Speech Signal Process (2002), 4160-4164.
13. R.M. Udrea, S. Ciochina, and D.N. Vizireanu, Milti-band bark scale spectral over-subtraction for colored noise reduction, Int Symp Signals Circ Syst (2005), 311-314.
14. D. Tsoukalas, M. Paraskevas, and J. Mourjopoulos, Speech enhancement using psycho-acoustic criteria, Proc IEEE ICASSP (1993), 359-361.
15. T. Usagawa, M. Iwata, and M. Ebata, Speech parameter extraction in noisy environment using a masking model, Proc IEEE ICASSP (1994), 81-84.
16. S. Nandkumar and J.H.L. Hansen, Dual-channel iterative speech enhancement with constraints on an auditory-based spectrum, IEEE Trans Speech Audio Process 3 (1995), 22-34.
17. J.D. Johnston, Transform coding of audio signal using perceptual noise criteria, IEEE J Select Areas Commun 6 (1988), 314-323.
18. J.Q. Wang, C.X. Zheng, X.J. Jin, and G.H. Lu, Study on a non-contact life parameter detection system using millimeter wave, Space Med Med Eng 17 (2004), 157-161.
19. J. Wang, C. Zheng, G. Lu, and X. Jing, A new method for identifying the life parameters via radar, EURASIP J Adv Signal Process 2007 (2007), 8-16.
20. M. Berouti, R. Schwartz, and J. Makhoul, Enhancement of speech corrupted by acoustic noise, Proc IEEE Int Conf Acoust Speech Signal Process (1979), 208-211.
21. S. Li, J. Wang, M. Niu, T. Liu, and X. Jing, The enhancement of millimeter wave conduct speech using multi-band spectral subtraction method, Int J Infrared Millimeter Waves (2007).
22. N. Virag, Speech enhancement based on masking properties of the auditory system, Proc IEEE ICASSP (1995), 796-799.
23. E. Zwicker and H. Fasti, Psychoacoustics: Facts and models, Springer-Verlag, Berlin, Germany, 1990.
24. M.R. Schroeder, B.S. Atal, and J.L. Hall, Optimizing digital speech coders by exploiting masking properties of the human ear, J Acoust Soc Am 66 (1979), 1647-1651.
25. D. Sinha and A.H. Tewfik, Low bit rate transparent audio compression using adapted wavelets, IEEE Trans Signal Process 41 (1993), 3463-3479.
26. H. Fletcher, Auditory patterns, Rev Mod Phys. 12 (1940), 47-65.
27. N. Virag, Single channel speech enhancement based on masking properties of the human auditory system, IEEE Trans Speech Audio Process 7 (1999), 126-137.
28. H. Liu, Q. Zhao, M. Wan, and S. Wang, Enhancement of electrolarynx speech based on auditory masking, IEEE Trans Biomed Eng 53 (2006), 865-874.