• DocumentCode
    1465471
  • Title

    A double-talk detector based on coherence

  • Author

    Gansler, T. ; Hansson, Maria ; Ivarsson, Carl-Johan ; Salomonsson, Göran

  • Author_Institution
    Dept. of Appl. Electron., Lund Inst. of Technol., Sweden
  • Volume
    44
  • Issue
    11
  • fYear
    1996
  • fDate
    11/1/1996 12:00:00 AM
  • Firstpage
    1421
  • Lastpage
    1427
  • Abstract
    We address the problem of detecting double-talk in a full duplex transmission line. A new double-talk detector (DTD) based on measuring the similarity between the far- and near-end speech signals is proposed. The detector is block oriented and operates in the frequency domain where the similarity between the signals is measured by means of the coherence function. The coherence is estimated with a short sequence of data by exploiting the multiple window spectrum estimation technique. Theoretical evaluation and examples of its performance are presented. The proposed DTD operates accurately in a wide range of situations, i.e., a difference in speech levels and hybrid attenuations ranging from 0 to 20 dB
  • Keywords
    coherence; echo suppression; frequency-domain analysis; signal detection; spectral analysis; speech processing; telephone networks; access networks; block oriented detector; coherence; coherence function; double-talk detector; echo suppression; far-end speech signals; frequency domain; full duplex transmission line; hybrid attenuations; local telephone networks; long distance telephone network; multiple window spectrum estimation; near-end speech signals; short data sequence; signal similarity measurement; speech levels; Circuits; Detectors; Echo cancellers; Equations; Frequency estimation; Signal processing; Signal processing algorithms; Speech; Transmission line measurements; Transmission line theory;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.544458
  • Filename
    544458