In speech enhancement based on wavelet package, a new concept of time-frequency thresholding and the corresponding algorithm are presented. Based on the masking properties of human auditory system to wavelet denoising, the threshold is modulated to vary with the time-frequency characteristic of the speech's pre-estimate, but not merely the time-variant information as has been adopted in former researches. And via the proposed thresholding, the wavelet package coefficients can be adjusted adaptively and a better denoised speech can be achieved. Experimental results show that compared with the former algorithms the proposed method and algorithm has better performance with less distortion and residual noise.
Time-Frequency Thresholding: A New Algorithm In Wavelet Package Speech Enhancement
2008 Congress on Image and Signal Processing ; 4 ; 327-330
2008-05-01
326974 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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