A kalman filter with a perceptual post-filter to enhance speech degraded by colored noise

Authors

  • Ning Ma Sch. of Info. Technol. and Eng., University of Ottawa, 800 King Edward, Ottawa, Ont. K1N 6N5, Canada
  • Martin Bouchard Sch. of Info. Technol. and Eng., University of Ottawa, 800 King Edward, Ottawa, Ont. K1N 6N5, Canada
  • Rafik A. Goubran Department of Systems Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, Ont. K1S 5B6, Canada

Keywords:

Algorithms, Computer simulation, Matrix algebra, Parameter estimation, Signal processing, Signal to noise ratio, Speech intelligibility, Speech processing, Vectors, White noise, Colored noises, Speech degradation, Speech enhancement algorithms, Speech signals

Abstract

A method for colored noise speech enhancement based on a Kalman filter combined with a post-filter using masking properties of human auditory systems was presented. Time domain forward masking effects and frequency domain simultaneous masking properties were considered in the post-filter. A colored noise v(n), used as the noise source, was obtained by running a white noise signal through an AR filter. It was found that the new method has the best performance for any input noisy speech signal-to-noise ratio value.

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Published

2004-09-01

How to Cite

1.
Ma N, Bouchard M, Goubran RA. A kalman filter with a perceptual post-filter to enhance speech degraded by colored noise. Canadian Acoustics [Internet]. 2004 Sep. 1 [cited 2021 Sep. 27];32(3):138-9. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1666

Issue

Section

Proceedings of the Acoustics Week in Canada