• DocumentCode
    491192
  • Title

    Model of Speech Intelligibility for Channels Subjected to Intermittent Interference

  • Author

    Reilly, Thomas S. ; McIntyre, Laura A. ; Maiuzzo, Michael A.

  • Volume
    2
  • fYear
    1987
  • fDate
    19-22 Oct. 1987
  • Abstract
    A model is developed to predict the Articulation Score (AS) for a communications channel subjected to intermittent interference. The AS is the percentage of words correctly identified by trained listener panels using specific word lists.1,2 Using methods developed below, the AS can also be calculated from signal parameters such as pulsewidth, pulse repetition frequency (prf), and pulse and desired signal amplitude for randomly occurring interference pulses. Model predictions are compared with measured AS for a comprehensive range of signal parameter values.
  • Keywords
    Acoustic noise; Artificial intelligence; Error correction; Error probability; Interference; Natural languages; Predictive models; Space vector pulse width modulation; Speech; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference - Crisis Communications: The Promise and Reality, 1987. MILCOM 1987. IEEE
  • Conference_Location
    Washington, DC, USA
  • Type

    conf

  • DOI
    10.1109/MILCOM.1987.4795266
  • Filename
    4795266
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=491192