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MALORCA SIGNED

Machine Learning of Speech Recognition Models for Controller Assistance

Total Cost €

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EC-Contrib. €

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Partnership

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 MALORCA project word cloud

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

re    operators    rates    difference    aclistant    advantage    voice    understand    cheap    adapt    hampering    venture    controllers    speech    automate    time    combines    failures    automatically    causes    automation    communication    phraseology    advantages    sensor    replace    algorithms    intensive    model    solution    deviations    below    air    deployment    ops    space    context    levels    issue    exchange    never    reduce    command    manual    media    introduction    proposes    error    creates    usaar    models    automated    lack    recognition    world    local    recognizer    pilots    capital    saarland       generates    misunderstandings    learning    traffic    whereas    one    acceptance    natural    data    accents    situation    reg    link    dlr    language    standard    absr    assumed    machine    amount    university    customisation    integral    rooms    respective    atm    environments    laboratory    search    sources    transfer    assistant    environment    automatic   

Project "MALORCA" data sheet

The following table provides information about the project.

Coordinator
DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV 

Organization address
address: Linder Hoehe
city: KOELN
postcode: 51147
website: www.dlr.de

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 Germany [DE]
 Project website http://www.malorca-project.de/
 Total cost 805˙587 €
 EC max contribution 538˙103 € (67%)
 Programme 1. H2020-EU.3.4.7.1 (Exploratory Research)
 Code Call H2020-SESAR-2015-1
 Funding Scheme SESAR-RIA
 Starting year 2016
 Duration (year-month-day) from 2016-04-01   to  2018-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV DE (KOELN) coordinator 211˙887.00
2    UNIVERSITAT DES SAARLANDES DE (SAARBRUCKEN) participant 187˙211.00
3    AUSTRO CONTROL OSTERREICHISCHE GESELLSCHAFT FUR ZIVILLUFTFAHRT MBH AT (WIEN) participant 86˙562.00
4    RIZENI LETOVEHO PROVOZU CESKE REPUBLIKY STATNI PODNIK CZ (JENEC) participant 52˙442.00
5    FONDATION DE L'INSTITUT DE RECHERCHE IDIAP CH (MARTIGNY) participant 0.00

Map

 Project objective

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 between operators and systems which lead to failures and further on to a lack of acceptance for automation. One promising solution is the introduction of automatic speech recognition as an integral part of automation. Recently, the venture capital funded project AcListant® has achieved command error rates below 2% based on Assistant Based Speech Recognition (ABSR), developed by Saarland University (USAAR) and DLR. ABSR combines speech recognition with an assistant system, which generates context information to reduce the search space of the speech recognizer. One main issue to transfer ABSR from the laboratory to the ops-rooms is its costs of deployment. Each ABSR model must manual adapted to the local environment due to e.g. different accents and deviations from standard phraseology. This project proposes a general, cheap and effective solution to automate this re-learning, adaptation and customisation process to new environments, taking advantage of the large amount of speech data available in the ATM world. Machine learning algorithms using these data sources will automatically adapt the ABSR models to the respective environment.

 Deliverables

List of deliverables.
System Requirement Document Documents, reports 2019-05-31 12:00:56
Report on Stakeholder Workshop Results Websites, patent fillings, videos etc. 2019-05-30 14:44:58
Gap Analysis Report (T0+24) Documents, reports 2019-05-30 14:44:56
Operational Concept Description Documents, reports 2019-05-30 14:44:56
Publishable Project Results final report Documents, reports 2019-05-30 14:44:54

Take a look to the deliverables list in detail:  detailed list of MALORCA deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 Ajay Srinivasamurthy, Petr Motlicek, Ivan Himawan, Gyorgy Szaszak, Youssef Oualil, Hartmut Helmke
Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control
published pages: , ISSN: , DOI:
2019-06-13
2017 M. Kleinert, H. Helmke, G. Siol, H. Ehr, M. Finke, Y. Oualil, A. Srinivasamurthy
Machine Learning of Controller Command Prediction Models from Recorded Radar Dataand Controller Speech Utterances
published pages: 8, ISSN: , DOI:
SESAR Innovation Days in Belgrade 2019-06-13
2017 Youssef Oualil, Dietrich Klakow, Gyorgy Szaszak, Ajay Srinivasamurthy, Hartmut Helmke, Petr Motlicek
A CONTEXT-AWARE SPEECH RECOGNITION AND UNDERSTANDING SYSTEM FOR AIR TRAFFIC CONTROL DOMAIN
published pages: , ISSN: , DOI:
Automatic Speech Recognition and Understanding Workshop 2019-06-13
2016 Hartmut Helmke, Petr Motlicek, Ivan Himawan, Oliver Ohneiser, Christian Windisch, Christian Kern, Aneta Cerna, Matej Nesvadba, Youssef Oualil, Dietrich Klakow, György Szaszak
MALORCA: Learning of Controllers\' Behaviour from Recorded Radar Data and Speech Utterances
published pages: , ISSN: , DOI:
6th SESAR INNOVATION DAYS 2019-06-13

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

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