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.


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    Titel :

    Time-Frequency Thresholding: A New Algorithm In Wavelet Package Speech Enhancement


    Beteiligte:
    Wang, Gang (Autor:in) / Xu, Yaohua (Autor:in) / Li, Xiaolin (Autor:in)


    Erscheinungsdatum :

    2008-05-01


    Format / Umfang :

    326974 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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