ASIA unversity:Item 310904400/13150
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90120/105277 (86%)
Visitors : 8144253      Online Users : 2042
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/13150


    Title: Noise reduction using simultaneous masking property and SNR variation for various noise corruptions
    Authors: 陸清達;Lu, Ching-Ta;曾昆福;Tseng, Kun-Fu;陸清達;Lu, Ching-Ta
    Contributors: 資訊傳播學系
    Date: 2008-03
    Issue Date: 2012-11-22 16:46:25 (UTC+8)
    Abstract: A speech enhancement algorithm adapted by both intra- frame masking properties of the human auditory system and inter-frame SNR variation is proposed to enhance a speech signal corrupted by colored noise. Herein, we employ a gain factor adapted by the SNR variation to reduce the spectral variation over successive frames, so the effect of musical residual noise can be mitigated. In addition, the masking property of the human ears is also employed to adapt the gain factor, enabling the imperceptive residual noise with energy below the noise masking threshold to be retained. The speech distortion is therefore reduced by preserving more noisy speech signals. Experimental results show that the proposed scheme can efficiently reduce the effect of musical residual noise by rendering residual noise perceptually white.
    Relation: IEEE International Conference on Acoustics, Speech, and Signal Processing
    Appears in Collections:[Department of Information Communication] Proceedings

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML82View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback