• DocumentCode
    1859522
  • Title

    Blind source separation of speech signals based on an ICA geometric procedure

  • Author

    Rodríguez-Álvarez, M. ; Rojas, F. ; Salmerón, M. ; Rojas, I. ; Ros, E. ; Puntonet, C.G.

  • Author_Institution
    Dept. of Archit. & Comput. Technol., Granada Univ., Spain
  • Volume
    2
  • fYear
    2003
  • fDate
    2-5 July 2003
  • Firstpage
    631
  • Abstract
    This work explains a new method for blind separation of a linear mixture of sources, based on geometrical considerations concerning the observation space. This new method is applied to a mixture of several sources and it obtains the estimated coefficients of the unknown mixture matrix A and separates the unknown sources. The principles of the new method and a description of the algorithm followed by some speed enhancements and simulations are shown.
  • Keywords
    blind source separation; independent component analysis; speech processing; blind source separation; geometric procedure; independent component analysis; observation space; source linear mixture; speech signal; speed enhancement; unknown mixture matrix estimated coefficient; Blind source separation; Independent component analysis; Lattices; Sensor phenomena and characterization; Signal processing; Source separation; Space technology; Speech; Stochastic processes; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Video/Image Processing and Multimedia Communications, 2003. 4th EURASIP Conference focused on
  • Print_ISBN
    953-184-054-7
  • Type

    conf

  • DOI
    10.1109/VIPMC.2003.1220534
  • Filename
    1220534
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1859522