Title :
Model of Speech Intelligibility for Channels Subjected to Intermittent Interference
Author :
Reilly, Thomas S. ; McIntyre, Laura A. ; Maiuzzo, Michael A.
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;
Conference_Titel :
Military Communications Conference - Crisis Communications: The Promise and Reality, 1987. MILCOM 1987. IEEE
Conference_Location :
Washington, DC, USA
DOI :
10.1109/MILCOM.1987.4795266
