Explore the words cloud of the MALORCA project. It provides you a very rough idea of what is the project "MALORCA" about.
The following table provides information about the project.
Coordinator |
DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV
Organization address contact info |
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 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
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 |
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.
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.
year | authors and title | journal | last update |
---|---|---|---|
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.