• DocumentCode
    572909
  • Title

    Blind extraction of underdetermined mixtures using TF Mask

  • Author

    Feng Gao ; Gongxian Sun ; Ming Xiao

  • Author_Institution
    Coll. of Electrics & Inf. Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2012
  • fDate
    24-26 Aug. 2012
  • Firstpage
    664
  • Lastpage
    666
  • Abstract
    For blind source recovery problem for underdetermined and non-completely sparse mixtures, BE-TF-Mask (Blind Extraction Based on Time Frequency Mask) algorithm is proposed in this paper. The algorithm combines blind extraction algorithm for the non-completely sparse case with the DUET approach. It computes firstly the extraction vector of source and the normal vector of source direction, and then rotates the mixtures and the mixing matrix using a linear transform, and then recovers the source using binary time-frequency mask method. Several speech signal experiments demonstrate its performance and practical.
  • Keywords
    blind source separation; speech synthesis; BE-TFMask; DUET approach; TF mask; binary time-frequency mask method; blind extraction algorithm; blind source recovery problem; linear transform; speech signal experiments; underdetermined mixtures; Minimization; blind source extraction; rotation; time-frequency mask; underdetermined blind source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Processing (CSIP), 2012 International Conference on
  • Conference_Location
    Xi´an, Shaanxi
  • Print_ISBN
    978-1-4673-1410-7
  • Type

    conf

  • DOI
    10.1109/CSIP.2012.6308941
  • Filename
    6308941