• DocumentCode
    1238322
  • Title

    The cocktail party problem [instrumentation notes]

  • Author

    Ainhoren, Yoel ; Engelberg, Shlomo ; Friedman, Shai

  • Volume
    11
  • Issue
    3
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    44
  • Lastpage
    48
  • Abstract
    Consider a cocktail party with many people attending and many conversations going on simultaneously. If we recorded the sound from somewhere in the room, we would find that we had recorded many conversations at once, and it would be very difficult to tell what was being said by any given person. The problem of taking such a recording, or several such recordings, and separating out the different speakers is known as the cocktail party problem. The generalization of this problem to separating different independent components of a signal without making use of any specific knowledge of the component signals is known as blind source separation. The ability to take a recording in which many people are speaking and to create separate tracks that contain what was said by each person is of great interest to industry and government.
  • Keywords
    blind source separation; independent component analysis; blind source separation; cocktail party problem; independent component analysis; Blind source separation; Government; Independent component analysis; Instruments; Microphones; Performance evaluation; Random variables; Scattering; Terminology; Testing;
  • fLanguage
    English
  • Journal_Title
    Instrumentation & Measurement Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1094-6969
  • Type

    jour

  • DOI
    10.1109/MIM.2008.4534378
  • Filename
    4534378