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Automatic collection and processing of voice data from air-traffic communications

Project description

Deep learning to help air traffic controllers

The future of air traffic management studies is grounded in machine learning processes aimed at improving the performance and accuracy of techniques. Simulation scenarios can provide deep learning opportunities for air traffic controllers. The collection, storage, processing and sharing of voice communications from real world air-traffic control data will be made possible on a new platform created by the EU-funded ATCO2 project. It will target spoken commands issued by the air traffic controllers and readback confirmations provided by pilots. The project will also access voice recordings from air navigation service providers such as Austro Control, which is Europe’s leading air traffic control organisation.

Call for proposal

H2020-CS2-CFP09-2018-02
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Coordinator

FONDATION DE L'INSTITUT DE RECHERCHE IDIAP
Address
Rue Marconi 19
1920 Martigny
Switzerland

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Activity type
Research Organisations
EU contribution
€ 189 633,75

Participants (6)

VYSOKE UCENI TECHNICKE V BRNE
Czechia
EU contribution
€ 142 875
Address
Antoninska 548/1
601 90 Brno Stred

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Activity type
Higher or Secondary Education Establishments
UNIVERSITAT DES SAARLANDES
Germany
EU contribution
€ 149 620
Address
Campus
66123 Saarbrucken

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Activity type
Higher or Secondary Education Establishments
OPENSKY NETWORK
Switzerland
EU contribution
€ 185 250
Address
Eyzalg 23
3400 Burgdorf

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Activity type
Research Organisations
REPLAYWELL SRO
Czechia
EU contribution
€ 41 737,50
Address
U Vodarny 3032 2a
61600 Brno Kralovo Pole

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Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EVALUATIONS AND LANGUAGE RESOURCES DISTRIBUTION AGENCY
France
EU contribution
€ 39 375
Address
9 Rue Des Cordelieres
75013 Paris

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Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ROMAGNA TECH SOCIETA CONSORTILE PER AZIONI
Italy
EU contribution
€ 50 750
Address
Corso Giuseppe Garibaldi 49
47121 Forli

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Activity type
Research Organisations