Improving speech quality for a corrupted signal is still an important task for voice communication. This investigation proposes to incorporate thresholding-based algorithm with homogeneous-frame-merged (HFM) approach to adapt a gain factor. In turn, we employ this gain factor to reduce the noise components for a corrupted signal. Firstly, a fixed-length frame is employed to calculate the power of noisy wavelet coefficient. Afterwards, merging homogeneous frames in a segment is performed to estimate the power of speech wavelet coefficient. Substituting this speech power in wavelet coefficient to the thresholding-based algorithm, enhanced speech signal is then obtained. Experimental results show that the proposed gain factors vary smoothly among homogeneous frames for each subband, enabling the residual noise to be reduced significantly.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Noise Reduction Using Thresholding-Based Algorithm and Homogeneous-Frame-Merged Approach for Wavelet-Packet Transform


    Beteiligte:
    Lu, Ching-Ta (Autor:in)


    Erscheinungsdatum :

    2008-05-01


    Format / Umfang :

    326632 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Image compression using complex wavelet transform (CWT) with custom thresholding

    Reddy, C. Somasundar / Murthy, C. Ravindra | IEEE | 2017


    Selection of Thresholding Scheme for Image Noise Reduction on Wavelet Components Using Bayesian Estimation

    De Stefano, A. / White, P. R. / Collis, W. B. | British Library Online Contents | 2004


    Speckle-Noise Reduction Via "Rotated Elliptical-Thresholding" in an Homomorphic Complex-Wavelet Domain

    Ng, E. H.-o. / Wong, K. T. / Lam, J. C. L. | British Library Conference Proceedings | 2005



    Wavelet Packet Transform-Based OFDM for Optical Communications

    Li, A. / Shieh, W. / Tucker, R.S. | British Library Online Contents | 2010