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Reseach Article

Speech Enhancement using a Modified Apriori SNR and Adaptive Spectral Gain Control

by Ch.V.Rama Rao, M.B.Rama Murthy, K.Srinivasa Rao
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 12
Year of Publication: 2011
Authors: Ch.V.Rama Rao, M.B.Rama Murthy, K.Srinivasa Rao
10.5120/1738-2363

Ch.V.Rama Rao, M.B.Rama Murthy, K.Srinivasa Rao . Speech Enhancement using a Modified Apriori SNR and Adaptive Spectral Gain Control. International Journal of Computer Applications. 12, 12 ( January 2011), 13-17. DOI=10.5120/1738-2363

@article{ 10.5120/1738-2363,
author = { Ch.V.Rama Rao, M.B.Rama Murthy, K.Srinivasa Rao },
title = { Speech Enhancement using a Modified Apriori SNR and Adaptive Spectral Gain Control },
journal = { International Journal of Computer Applications },
issue_date = { January 2011 },
volume = { 12 },
number = { 12 },
month = { January },
year = { 2011 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number12/1738-2363/ },
doi = { 10.5120/1738-2363 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:27.393605+05:30
%A Ch.V.Rama Rao
%A M.B.Rama Murthy
%A K.Srinivasa Rao
%T Speech Enhancement using a Modified Apriori SNR and Adaptive Spectral Gain Control
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 12
%P 13-17
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A new approach to single channel speech enhancement is proposed using a modified a priori SNR and spectral gain control. The proposed approach is first directed toward finding self adaptive averaging factor to estimate the apriori SNR. Next, spectral gain is reduced in order to suppress effects of the noise in the speech absent frames. Further, in the speech present frames, in order to reduce signal distortion, the spectral gain is controlled to be unity based on an SNR calculated by using a ridgeline spectrum. Finally, the original noisy speech is added to the estimated speech in a ratio is controlled by the long term averaged SNR of the estimated noise and the noisy speech. Computer simulations by using speech signals, the white noise, the car noise and the babble noise have been carried out using several available methods and the proposed method. It is observed that there is improvement in speech quality by the proposed method.

References
  1. J.S.Lim and A.V.Oppenheim, “Enhancement and bandwidth compression of noisy speech,” Proc. IEEE, vol.67, pp. 1586-1604, Dec. 1979.
  2. Y.Ephraim and D.Malah, “Speech enhancement using minimum mean-square error short-time spectral amplitude estimator,” IEEE Trans. Vol. ASSP-32, no. 6, pp. 1109-1121, Dec. 1984.
  3. Y.Ephraim, and D.Mallah, “Speech enhancement using minimum mean-square error log-spectral amplitude estimator,” IEEE Trans. Vol.ASSP-33, no. 2, pp. 443-445, April 1985.
  4. O.Cappe, “Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor,” IEEE Trans. Speech Audio Process., vol.2, no.2, pp. 345-349, April 1994.
  5. B.F.Wu and K.C.Wang, “Noise spectrum estimation with entropy-based VAD in non-stationary environments,” IEICE (Japan) Trans. Fundamentals, vol. E89-A, no. 2, Feb. 2006.
  6. C.Beaugeant and P.Scalart, “Noise reduction using perceptual spectral change,” in Proc. EUROSPEECH Conf., vol. 6, pp. 2543-2546, 1999.
  7. I.Y.Soon and S.N.Koh, “Low distortion speech enhancement,” Proc. Inst. Elect. Eng., Vis. Image Signal Process., vol. 147, pp. 247-253, 2000.
  8. B.L.Sim, Y.C.Tong, J.S.Chang and C.T.Tan, “A parametric formulation of the generalized spectral subtraction method,” IEEE Trans. Speech Audio Processing, vol. 6, pp. 328-337, July 1998.
  9. Yi Hu and Philipos C.Loizou, “Evaluation of objective quality measures for speech enhancement”, IEEE Trans. On Audio, Speech and Language Processing, vol.16, no.1, pp. 229-238, Jan.2008.
  10. Ma, Jianfen, Yi Hu and Philipos C.Loizou, “Objective measures for predicting speech intelligibility in noisy conditions based on new band-important function”, J. Acoust. Soc. Am., Vol. 125, No. 5, pp. 3387-3405, 2009.
  11. Quackenbush.S, Barnwell. T and Clements. M, “Objective measures of speech quality,” Prentice Hall, Englewood Cliffs, NJ, 1988.
Index Terms

Computer Science
Information Sciences

Keywords

MMSE estimator apriori SNR spectral gain