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Reseach Article

Speech Enhancement in Hearing Aids Using Conjugate Symmetry of DFT and SNR-Perception Models

by S.D. Apte, Shridhar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 21
Year of Publication: 2010
Authors: S.D. Apte, Shridhar
10.5120/58-650

S.D. Apte, Shridhar . Speech Enhancement in Hearing Aids Using Conjugate Symmetry of DFT and SNR-Perception Models. International Journal of Computer Applications. 1, 21 ( February 2010), 44-51. DOI=10.5120/58-650

@article{ 10.5120/58-650,
author = { S.D. Apte, Shridhar },
title = { Speech Enhancement in Hearing Aids Using Conjugate Symmetry of DFT and SNR-Perception Models },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 21 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 44-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number21/58-650/ },
doi = { 10.5120/58-650 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:47:33.018108+05:30
%A S.D. Apte
%A Shridhar
%T Speech Enhancement in Hearing Aids Using Conjugate Symmetry of DFT and SNR-Perception Models
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 21
%P 44-51
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Most of the speech enhancement algorithms use the magnitude of STFT while phase is kept unchanged [3]. In this paper the magnitude of STFT of noisy speech is kept unchanged while the phase is modified. Modified complex spectrum of speech is obtained by combining unchanged magnitude spectrum and modified phase spectrum. This modification results into cancellation of low energy components (noise) of complex spectrum more than the high-energy (speech) components leading to reduction in background noise. SNR-Perception models for AWGN, Train noise, and Babble noise are developed using Nonlinear Regression modeling. Normal hearing and hearing loss subjective listening tests and spectrogram analysis show that the proposed method gives improved speech quality.

References
  1. S. Boll, "Suppression of acoustic noise in speech using spectral subtraction ,"IEEE Trans .acoust , speech, signalprocess.,vol.ASSP-27,NO.2,PP.113-120, Apr.1979.
  2. Y.Ephraim and D. Malah, "Speech enhancement using a minimum mean -square error log-spectral amplitude estimator, " IEEE Trans. Acoust ., Speech Signal Process ., vol.ASSP-33, no.2,pp.443-445,Apr.1985.
  3. Kamil Wojciki ,Mittar Milacic,Anthony Stark, James Lyons, and Kuldip Paliwal , "Exploiting conjugate symmetry of short - time Fourier spectrum for speech enhancement, " IEEE Trans. Signal processing letters , vol.15.2008. pp.461-464
  4. K.Paliwal and A.Basu, "A Speech enhancement method based on kalman filtering ," in proc.IEEE Int.Conf.Acoustics , speech ,and Signal Processing (ICASSP'87),Apr.1987,vol.12,pp.297 - 300.
  5. Y. Ephraim and H. V. Trees, "A Signal Subspace approach for speech enhancement " IEEE Trans. Speech Audio Process.,vol.3,no.4. pp. 251-266, July.1995.
  6. J.Allen and L.Rabiner, "A Unified approach to short- time Fourier analysis and synthesis, " Proc. IEEE, vol.65, no. 11,pp.1558-1564, Nov.1977.
  7. R.Crochiere, "A weighted overlap-add method of short -time Fourier analysis/ syntesis, " IEEEE Trans. Acoust.,Speech,Signal Process.,vol ASSP-28,no.2, pp, 99- 102, Apr.1980
  8. D. Griffin and J.Lim, " Signal estimation from modified short-time Fourier Transform," IEEE Trans.Acoust., speech. Signal process., vol.ASSP-32,no.2,pp.236 -243,Apr. 1984.
  9. M.Portnoff, "Short-time Fourier analysis of sampled speech, " IEEE Trans. Acoust., Speech, Signal process., Vol. ASSP- 29, no.3,pp.364-373, Jun.1981.
  10. Richard J Baker, Stuart Rosen, " Auditory filter non linearity in mild/moderate hearing impairment. "Journal of Acoustical Society of America, 111(3), March 2002,pp.1330-1339.
  11. Pick G.F., Evans E.F. " Dissociation between frequency resolution and hearing threshold" In hearing-Physiological basis and Psychophysics, Edited by R.Klinke and R.Hartmann.pp.393-398.
  12. Rosen S. Baker R.J, Darling A.M. " Auditory filter non linearity at 2kHz in normal listeners" Journal of Acoustical Society of America, 103,pp.2539-2550
  13. Tyler R.S, Hall J.W, Glassberg B.R, Moore B.C.J, Patterson R.D. " Auditory filter asymmetry in the hearing impaired". Journal of Acoustical Society of America,76,pp.1363-1368.
  14. B.C.J Moore. " Speech processing for the Hearing impaired: Successes, failures and Implications for Speech mechanisms" Speech communication,Elsevier 41(2003) pp.81-91.
  15. Jesko L.Verhey ,Anne Kristin Anweiler, Volker Hohmann "Spectral loudness summation as a function of duration for hearing impaired listeners, International Journal of Audiology.2006;45;pp.287-294.
Index Terms

Computer Science
Information Sciences

Keywords

Hearing Aids Speech enhancement DFT magnitude spectrum phase spectrum Conjugate symmetry