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


ATCO2 project aims at developing a unique platform allowing to collect, organize and pre-process air-traffic control (voice communication) data from air space. Preliminarily the project will consider the real-time voice communication between air-traffic controllers and pilots available either directly through publicly accessible radio frequency channels, or indirectly from air-navigation service providers (ANSPs). In addition to the voice communication, the contextual information available in a form of metadata (i.e. surveillance data) will be exploited. 


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Keywords: Air-traffic management, Automatic speech recognition, Signal processing, Legal and ethical framework.

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This project has received funding from the Clean Sky 2 Joint Undertaking (JU) under grant agreement No 864702. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the Clean Sky 2 JU members other than the Union
Call Reference: H2020-CS2-CFP09-2018-02
Type of Action: CS2-IA
Topic Identification Code: JTI-CS2-2018-CfP09- LPA-03-16
Programme(s): H2020-EU. - IADP Large Passenger Aircraft
Topic Title: Automated data collection and semi-supervised processing framework for deep learning
Proposal Number/ Acronym: 864702 - ATCO2