Automatic Understanding of ATC Speech: Study of Prospectives and Field Experiments for Several Controller Positions

Pardo Muñoz, José Manuel and Ferreiros López, Javier and Fernández Martínez, Fernando and Sama, Valentin and Córdoba Herralde, Ricardo de and Macías Guarasa, Javier and Montero Martínez, Juan Manuel and San Segundo Hernández, Rubén and D'haro Enríquez, Luis Fernando and González, Germán (2011). Automatic Understanding of ATC Speech: Study of Prospectives and Field Experiments for Several Controller Positions. "IEEE Transactions on Aerospace and Electronic Systems", v. 47 (n. 4); pp. 2709-2730. ISSN 0018-9251. https://doi.org/10.1109/TAES.2011.6034660.

Description

Title: Automatic Understanding of ATC Speech: Study of Prospectives and Field Experiments for Several Controller Positions
Author/s:
  • Pardo Muñoz, José Manuel
  • Ferreiros López, Javier
  • Fernández Martínez, Fernando
  • Sama, Valentin
  • Córdoba Herralde, Ricardo de
  • Macías Guarasa, Javier
  • Montero Martínez, Juan Manuel
  • San Segundo Hernández, Rubén
  • D'haro Enríquez, Luis Fernando
  • González, Germán
Item Type: Article
Título de Revista/Publicación: IEEE Transactions on Aerospace and Electronic Systems
Date: 2011
ISSN: 0018-9251
Volume: 47
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Although there has been a lot of interest in recognizing and understanding air traffic control (ATC) speech, none of the published works have obtained detailed field data results. We have developed a system able to identify the language spoken and recognize and understand sentences in both Spanish and English. We also present field results for several in-tower controller positions. To the best of our knowledge, this is the first time that field ATC speech (not simulated) is captured, processed, and analyzed. The use of stochastic grammars allows variations in the standard phraseology that appear in field data. The robust understanding algorithm developed has 95% concept accuracy from ATC text input. It also allows changes in the presentation order of the concepts and the correction of errors created by the speech recognition engine improving it by 17% and 25%, respectively, absolute in the percentage of fully correctly understood sentences for English and Spanish in relation to the percentages of fully correctly recognized sentences. The analysis of errors due to the spontaneity of the speech and its comparison to read speech is also carried out. A 96% word accuracy for read speech is reduced to 86% word accuracy for field ATC data for Spanish for the "clearances" task confirming that field data is needed to estimate the performance of a system. A literature review and a critical discussion on the possibilities of speech recognition and understanding technology applied to ATC speech are also given.

More information

Item ID: 11919
DC Identifier: http://oa.upm.es/11919/
OAI Identifier: oai:oa.upm.es:11919
DOI: 10.1109/TAES.2011.6034660
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6034660
Deposited by: Memoria Investigacion
Deposited on: 01 Oct 2012 08:12
Last Modified: 21 Apr 2016 11:06
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