• DocumentCode
    3460812
  • Title

    Speaker segmentation using parallel fusion between three classifiers

  • Author

    Ouamour, S. ; Sayoud, H. ; Guerti, M.

  • Author_Institution
    Inst. Electron. & Comput., USTHB Univ., Algiers, Algeria
  • fYear
    2009
  • fDate
    6-8 Nov. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we deal with the problem of speaker segmentation. This speciality consists in splitting the audio document into homogeneous areas. Each area is attributed to one speaker. Speaker segmentation (or speaker change detection) consists in detecting the points where the speaker identity changes, in a multi-speaker audio stream. These points or times are called ¿Break Points¿.
  • Keywords
    Gaussian processes; neural nets; speaker recognition; support vector machines; audio document; mono-Gaussian statistical measure; multilayer perceptron; parallel fusion; speaker change detection; speaker segmentation; support vector machines; Acoustic measurements; Broadcasting; Circuits and systems; Databases; Loudspeakers; Speech analysis; Speech enhancement; Support vector machine classification; Support vector machines; TV; Fusion; Neural networks; Relativity based classification; SVM; Speaker segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems (SCS), 2009 3rd International Conference on
  • Conference_Location
    Medenine
  • Print_ISBN
    978-1-4244-4397-0
  • Electronic_ISBN
    978-1-4244-4398-7
  • Type

    conf

  • DOI
    10.1109/ICSCS.2009.5412583
  • Filename
    5412583
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3460812