By Topic

Voice recognition: software solutions in real-time ATC workstations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Lechner, A. ; St. Cloud State Univ., St Cloud, MN, USA ; Mattson, P. ; Ecker, K.

Speech recognition features desired by air traffic controllers, such as the ability to use complex messages and address hundreds of individual aircraft could not be implemented a decade ago, but these tasks became possible with improved speech recognition engines and an increase in processing power and memory. Speech recognition was a key element in the air traffic controller (ATC) workstation used to support a Controller-Pilot Data Link Communications (CPDLC) system. Our work, under the direction of the Avionics Engineering Center at Ohio University, was in support of the Federal Aviation Administration's (FAA) Runway Incursion Reduction Program (RIRP) and the National Aeronautics and Space Administration's (NASA) Runway Incursion Prevention System (RIPS) conducted at the Dallas-Fort Worth International Airport (DFW). This paper examines the challenges and opportunities of developing voice recognition software solutions in ATC workstations using multiple dialects and accents, complex and varied grammars and terminology, accuracy, hardware restrictions, and user-training procedures.

Published in:

Aerospace and Electronic Systems Magazine, IEEE  (Volume:17 ,  Issue: 11 )