A Perceptual Approach to Reduce Musical Noise Using Critical Bands Tonality Coefficients and Masking Thresholds

Ch. V. Rama Rao, M. B. Rama Murthy, K. Srinivasa Rao

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DOI: 10.4236/ijcns.2009.28085                

Abstract

Traditional noise reduction techniques have the drawback of generating an annoying musical noise. A new scheme for speech enhancement in high noise environment is developed by considering human auditory system masking characteristics. The new scheme considers the masking threshold of both noisy speech and the denoised one, to detect musical noise components. To make them inaudible, they are set under the noise masking threshold. The improved signal is subjected to extensive subjective and objective tests. It is ob-served that the musical noise is appreciably reduced even at very low signal to noise ratios.

Keywords

Noise Reduction, Musical Noise, Masking Threshold

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	S. F. Boll, “Suppression of acoustic noise in speech using spectral subtraction,” IEEE Transaction Acoustics, Speech and Signal Processing, Vol. ASSP-27, No. 2, pp. 113–120, April 1979.
[2]	Y. Ephraim and D. Mallah, “Spectral enhancement using optimal non-linear spectral amplitude estimation,” on Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, pp. 1118–1121, 1983.
[3]	A. Akbari-Azrani, R. Le bouquin Jannes, and G. Faucon, “Optimizing speech enhancement by exploiting masking properties of the human ear,” on Proceedings International Conferences on Acoustic, Speech and Signal Processing ICASSP, IEEE, pp. 800–803, 1995.
[4]	N. Virag, “Single channel speech enhancement based on masking properties of human auditory system,” IEEE Transactions on Speech and Audio Processing, Vol. 7, No. 2, pp. 126–137, February 1999.
[5]	K. A. Sheela, CH. V. R. Rao, K. S. Prasad, and A. V. N. Tilak, “A new noise reduction preprocessor for mobile voice communication using perceptually weighted spectral subtraction method,” 3rd International Conferences on Mobile Ubiquitous and Pervasive Computing, VIT University, 16-19 December 2006.
[6]	CH. V. R. Rao, M. B. R. Murthy, and K. S. Rao, “Speech enhancement using modified Wiener filter,” National Conference on Futuristic Advancements in Computing & Electronics, Deccan College of Engineering & Technology, 19-21 March, 2009.
[7]	Y. Ephraim and D. Mallah, “Speech enhancement using a minimum mean square error short-time spectral amplitude estimator,” IEEE Transaction on Speech Audio Processing, Vol. ASSP-32, pp. 1109–1121, 1984.
[8]	J. D. Johnston, “Transform coding of audio signal using perceptual noise criteria,” IEEE, Journal on Selected Areas of Communication, Vol. 6, pp. 314–323, 1988.
[9]	S. B. Jebara, “A perceptual approach to reduce musical noise phenomenon with wiener denoising technique,” proceedings of IEEE International Conference on Acous-tics, Speech and Signal Processing, ICASSP, 2006.
[10]	W. Yan, M. Dixon, and R. Yantorno, “A modified bark spectral distortion measure which uses noise masking threshold,” on Proceedings of the Speech Coding Work-shop IEEE, pp. 55–56, 1997.