• DocumentCode
    2747040
  • Title

    BSS Toolbox for delayed and convolved mixtures

  • Author

    Ciaramella, Angelo ; Tagliaferri, Roberta ; Iorio, Francesco

  • Author_Institution
    Dept. of Math. & Comput. Sci., Salerno Univ., Italy
  • Volume
    2
  • fYear
    2005
  • fDate
    31 July-4 Aug. 2005
  • Firstpage
    1245
  • Abstract
    In this paper a Toolbox to generate and to analyze linear, non-linear, delayed and convolved mixtures of real source signals is presented. From one hand, in fact, a simple interface based on a physical model has been implemented and stereo, dolby, delayed, and convolved mixtures can be generated. On the other hand a blind source separation analysis can be accomplished. In fact, a novel separation algorithm (i.e. APDP) is included in the Toolbox. Several experiments to separate delayed mixtures of real instruments are made. Three musical recordings of different instrumental scores are mixed and analyzed by using the Toolbox. Several comparisons with known methods are made.
  • Keywords
    blind source separation; convolution; blind source separation Toolbox; convolved mixtures; delayed mixtures; novel separation algorithm; real source signals; Blind source separation; Computer science; Delay lines; Frequency domain analysis; Independent component analysis; Instruments; MONOS devices; Mathematics; Signal analysis; Source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-9048-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.2005.1556032
  • Filename
    1556032