Filtering of a Dissonant Frequency for Speech Enhancement

  • Kang, Sang-Ki (Modem Algorithm Lab. Telecommunication R&D Center Telecommunication Network Samsung Electronics Co., Ltd.) ;
  • Baek, Seong-Joon (School of Electronics & Computer Engineering, Chonnam National University) ;
  • Lee, Ki-Yong (School of Electronics Engineering, Soongsil University) ;
  • Sun, Koeng-Mo (School of Electric & Computer Engineering, Seoul National University)
  • Published : 2003.09.01

Abstract

There have been numerous studies on the enhancement of the noisy speech signal. In this paper, we propose a completely new speech enhancement scheme, that is, a filtering of a dissonant frequency (especially F# in each octave of the tempered scale) based on the fundamental frequency which is developed in frequency domain. In order to evaluate the performance of the proposed enhancement scheme, subjective tests (MOS tests) were conducted. The subjective test results indicate that the proposed method provides a significant gain in audible improvement especially for speech contaminated by colored noise and speaking in a husky voice. Therefore when the filter is employed as a pre-filter for speech enhancement, the output speech quality and intelligibility is greatly enhanced.

Keywords

References

  1. S. F. Boll,'Suppression of acoustic noise in speech using spectral subtraction,' IEEE Trans. Acoust., Speech, Signal Processing, ASSP-29, 113-120, April 1979
  2. J. S. Lim and A. V. Oppenheim, 'Ali-pole modeling of degraded speech,' IEEE Trans. Acoust., Speech, Signal Processing, ASSP-26, 197-210, June 1978 https://doi.org/10.1109/TASSP.1978.1163086
  3. J. Hansen and M. Clements, 'Constrained iterative speech enhancement with application to speech recognition,' IEEE Trans. Acoust., Speech, Signal Processing, ASSP-39 (4),21-27, April 1991
  4. M. R. Samber, 'Adaptive noise canceling for speech signals'" IEEE Trans. Acoust., Speech, Signal Processing, ASSP-26, 419-423, Oct. 1978 https://doi.org/10.1109/TASSP.1978.1163137
  5. J. S. Lim, A. V. Oppenheim, and L. D. Braida, 'Evaluation of an adaptive comb filtering method for enhancing speech degraded by white noise addition'" IEEE Trans. Acoust., Speech, Signal Processing, ASSP-26 (4), 354-358, April 1991 https://doi.org/10.1109/TASSP.1978.1163117
  6. S. F. Boll and D. C. Pulsipher, 'Suppression of acoustic noise in speech using two microphone adaptive noise cancelation,' IEEE Trans. Acoust., Speech, Signal Processing, ASSP-28 (6), 752-753, Dec. 1980 https://doi.org/10.1109/TASSP.1980.1163472
  7. Y. Ephraim, 'Statistical-model-based speech enhancement systems,' Proc. of IEEE, 80 (10), 1526-1555, Oct. 1992 https://doi.org/10.1109/5.168664
  8. H.-S. Pang, S.-J. Baek, and K.-M. Sung, 'Improved fundamental frequency estimation using parametric cubic convolution'" IElCE Trans. Fundamentals, E83-A (12), 2747-2750, 2000
  9. J. Tennenbaum,'The foundations of scientific Musical Tunning,' FIDELIO Magazine, 1(1), Winter 1991-92
  10. M. David Howard and J. Angus, Acoustics and Psychoacoustics, Focal Press, 1996