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