ASIA unversity:Item 310904400/8869
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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8869


    Title: Noise reduction using thresholding-based algorithm and homogeneous-frame- merged approach for wavelet-packet transform
    Authors: Lu, Ching-Ta
    Contributors: Department of Information Communication
    Keywords: Mathematical transformations;Mergers and acquisitions;Signal processing;Speech;Wavelet transforms;Gain factors;International congresses;Noise components;Noise reductions;Residual noises;Speech quality;Speech signals;Sub bands;Thresholding;Wavelet coefficients
    Date: 2008
    Issue Date: 2010-04-08 12:30:39 (UTC+0)
    Publisher: Asia University
    Abstract: Improving speech quality for a corrupted signal is still an important task for voice communication. This investigation proposes to incorporate thresholdingbased 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. © 2008 IEEE.
    Relation: Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008 4:299-302
    Appears in Collections:[Department of Information Communication] Proceedings

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