project . 2016 - 2018 . Closed

MALORCA

Machine Learning of Speech Recognition Models for Controller Assistance
Open Access mandate for Publications European Commission
  • Funder: European CommissionProject code: 698824 Call for proposal: H2020-SESAR-2015-1
  • Funded under: H2020 | SESAR-RIA Overall Budget: 805,588 EURFunder Contribution: 538,104 EUR
  • Status: Closed
  • Start Date
    01 Apr 2016
    End Date
    31 Mar 2018
  • Detailed project information (CORDIS)
  • Open Access mandate
    Research Data: No
Description
One of the main causes hampering the introduction of higher levels of automation in the Air Traffic Management (ATM) world is the intensive use of spoken language as the natural way of communication. Data link will be another media of communication with its known advantages compared to voice communication but for the future it is still assumed that data link communication will increase but never fully replace voice communication. Particularly for the time being controllers and pilots exchange information by spoken language, whereas automated systems understand the situation based only on sensor information. This difference in the end creates misunderstandings be...
Description
One of the main causes hampering the introduction of higher levels of automation in the Air Traffic Management (ATM) world is the intensive use of spoken language as the natural way of communication. Data link will be another media of communication with its known advantages compared to voice communication but for the future it is still assumed that data link communication will increase but never fully replace voice communication. Particularly for the time being controllers and pilots exchange information by spoken language, whereas automated systems understand the situation based only on sensor information. This difference in the end creates misunderstandings be...
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