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ATCO2 SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 ATCO2 project word cloud

Explore the words cloud of the ATCO2 project. It provides you a very rough idea of what is the project "ATCO2" about.

iterative    platform    transcripts    privacy    datalinks    accessing    transcribe    storage    extensively    comply    consolidating    solutions    collected    commands    sustainability    aligned    gain    receivers    speaker    regarding    recognition    centered    time    manual    learning    collect    automatically    recordings    scenarios    incentives    upload    deep    world    extended    speech    collects    performance    air    besides    pilots    personal    service    aircraft    communications    share    store    surveillance    machine    automatic    amount    traffic    periodically    position    atco2    technologies    building    supplied    confirmations    network    active    opensky    ethical    ads    broadcasted    editing    post    stores    significantly    accent    potentially    data    command    security    issued    collection    motivate    solution    providers    cleansky2    voice    aspect    segmentation    readback    improvements    austrocontrol    certified    controllers    community    navigation   

Project "ATCO2" data sheet

The following table provides information about the project.

Coordinator
FONDATION DE L'INSTITUT DE RECHERCHE IDIAP 

Organization address
address: RUE MARCONI 19
city: MARTIGNY
postcode: 1920
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Total cost 834˙003 €
 EC max contribution 799˙241 € (96%)
 Programme 1. H2020-EU.3.4.5.1. (IADP Large Passenger Aircraft)
 Code Call H2020-CS2-CFP09-2018-02
 Funding Scheme CS2-IA
 Starting year 2019
 Duration (year-month-day) from 2019-11-01   to  2022-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FONDATION DE L'INSTITUT DE RECHERCHE IDIAP CH (MARTIGNY) coordinator 189˙633.00
2    OPENSKY NETWORK CH (BURGDORF) participant 185˙250.00
3    UNIVERSITAT DES SAARLANDES DE (SAARBRUCKEN) participant 149˙620.00
4    VYSOKE UCENI TECHNICKE V BRNE CZ (BRNO STRED) participant 142˙875.00
5    ROMAGNA TECH SOCIETA CONSORTILE PER AZIONI IT (FORLI) participant 50˙750.00
6    REPLAYWELL SRO CZ (BRNO KRALOVO POLE) participant 41˙737.00
7    EVALUATIONS AND LANGUAGE RESOURCES DISTRIBUTION AGENCY FR (PARIS) participant 39˙375.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

ATCO2 will deliver a platform to collect, store, process and share voice communications from real world air-traffic control data, exploiting deep learning methods. The planned machine learning solutions are enabling technologies for air-traffic control. To achieve robust and high speech recognition performance, large amount of data will be collected. The project aims at accessing data from certified ADS-B datalinks aligned with a surveillance technology, and directly from air-traffic controllers supplied by air navigation service providers.

Centered on a robust platform, the project will build on an existing and extensively used solution of ‘OpenSky network’ partner, ensuring its long term sustainability. Current platform collects and stores periodically broadcasted aircraft information through a network of ADS-B receivers. It will be extended to allow collection, storage and pre-processing of voice communications, and time/position aligned with other aircraft information. The project targets both spoken commands issued by air-traffic controllers and readback confirmations provided by pilots. In addition to broadcasted data, ATCO2 will have access to voice recordings from air navigation service providers (e.g. Austrocontrol). Besides automatic segmentation (e.g. speaker, accent, specific command), robust automatic speech recognition will be implemented and integrated to automatically transcribe voice communications. It will use active learning scenarios capable of iterative improvements, in addition to manual post-editing.

To comply with the CleanSky2 Programme, the project will also significantly contribute to community building, consolidating an existing community of ‘OpenSky network’. Project incentives will motivate users to upload and potentially pre-transcribe data to gain access to other resources and automatic transcripts. The project will strongly account for legal and ethical issues regarding privacy, personal data, data security and other related aspect

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The information about "ATCO2" are provided by the European Opendata Portal: CORDIS opendata.

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