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

Información del proyecto

ATCO2

Identificador del acuerdo de subvención: 864702

DOI

10.3030/864702

Proyecto cerrado

Fecha de la firma de la CE 18 Septiembre 2019

Fecha de inicio 1 Noviembre 2019

Fecha de finalización 28 Febrero 2022

Financiado con arreglo a

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Coste total

€ 834 003,75

Aportación de la UE

€ 799 241,25

Coordinado por

FONDATION DE L'INSTITUT DE RECHERCHE IDIAP
Switzerland

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Open Research Data Pilot (1)

ATCO2 's data management plan

Updates of DMP at M18 and M24 as part of the Periodic and Final Reporting of the project

Documents, reports (3)

PEDR - Plan for the Communication Dissemination and Exploitation of Results

Interim version at M4 with updated versions at M28 The M28 version will be prepared for those partners exploiting the project results and for stakeholders using the results after EU funding endsWithin of this deliverable two internal deliverables will also be completedOutput O611 Creation of the projects identity website and online accounts to communicate inform create dialogue and promote use of the project results It includes the projects online accounts Month 2Output O612 Interim version of the project communications plan at M3 with updated version at M12

Required number of contributors

A short report defining the least minimum number of people per role willing to contribute so the project objectives will be achieved within the proposed timeplan

Community launch strategy

Report on strategy of community building and sustainability

Publicaciones

Peer reviewed articles (1)

Automatic Call Sign Detection: Matching Air Surveillance Data with Air Traffic Spoken Communications

Autores: Juan Zuluaga-Gomez, Karel Veselý, Alexander Blatt, Petr Motlicek, Dietrich Klakow, Allan Tart, Igor Szöke, Amrutha Prasad, Saeed Sarfjoo, Pavel Kolčárek, Martin Kocour, Honza Černocký, Claudia Cevenini, Khalid Choukri, Mickael Rigault, Fabian Landis
Publicado en: Proceedings, Edición 59/1, 2020, Página(s) 14, ISSN 2504-3900
Editor: MDPI
DOI: 10.3390/proceedings2020059014

Other (5)

ATCO2 project: a first legal framework on air traffic control (ATC) data collection and sharing

Autores: Claudia Cevenini, Khalid Choukri, Mickael Rigault, Petr Motlicek, Alexander Blatt, Honza Cernocky, Dietrich Klakow, Martin Kocour, Pavel Kolcarek, Fabian Landis, Amrutha Prasad, Saeed Sarfjoo, Igor Szoke, Allan Tart, Karel Vesely and Juan Pablo Zuluaga Gómez
Publicado en: 2020
Editor: Open Sky Network

Improving callsign recognition with air-surveillance data in air-traffic communication

Autores: Nigmatulina, Iuliia; Braun, Rudolf; Zuluaga-Gomez, Juan; Motlicek, Petr
Publicado en: 2021
Editor: Idiap Research Institute
DOI: 10.48550/arxiv.2108.12156

A two-step approach to leverage contextual data: speech recognition in air-traffic communications

Autores: Iuliia Nigmatulina, Juan Zuluaga-Gomez, Amrutha Prasad, Seyyed Saeed Sarfjoo, Petr Motlicek
Publicado en: ICASSP 2022 (accepted paper), 2022
Editor: ICASSP 2022

Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models

Autores: Madikeri, Srikanth; Tong, Sibo; Zuluaga-Gomez, Juan; Vyas, Apoorv; Motlicek, Petr; Bourlard, Hervé
Publicado en: Edición 1, 2020
Editor: Idiap Research Institute

Call-Sign Recognition And Understanding For Noisy Air-Traffic Transcripts Using Surveillance Information

Autores: Alexander Blatt, Martin Kocour, Karel Veselý, Igor Szöke, Dietrich Klakow
Publicado en: ICASSP 2022 (accepted paper), 2022
Editor: IEEE (ICASSP 2022)

Conference proceedings (6)

Detecting English Speech in the Air Traffic Control Voice Communication

Autores: "Szoke, Igor; Kesiraju, Santosh; Novotny, Ondrej; Kocour, Martin; Vesely, Karel; Cernocky, Jan ""Honza"""
Publicado en: Interspeech 2021, 2021
Editor: Interspeech 2021
DOI: 10.21437/interspeech.2021-1033

Automatic Processing Pipeline for Collecting and Annotating Air-Traffic Voice Communication Data

Autores: Martin Kocour, Karel Veselý, Igor Szöke, Santosh Kesiraju, Juan Zuluaga-Gomez, Alexander Blatt, Amrutha Prasad, Iuliia Nigmatulina, Petr Motlícek, Dietrich Klakow, Allan Tart, Hicham Atassi, Pavel Kolcárek, Jan Cernocký, Claudia Cevenini, Khalid Choukri, Mickael Rigault, Fabian Landis, Saeed Sarfjoo, Chloe Salamin
Publicado en: Proceedings of 9th OpenSky Symposium 2020, 2021, Página(s) 1-9
Editor: MDPI
DOI: 10.3390/engproc2021013008

Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems

Autores: Juan Zuluaga-Gomez, Iuliia Nigmatulina; Amrutha Prasad; Petr Motlicek, Karel Vesely, Martin Kocour, Igor Szoke
Publicado en: Interspeech 2021, 2021
Editor: Interspeech 2021
DOI: 10.21437/interspeech.2021-1373

Automatic Speech Recognition Benchmark for Air-Traffic Communications

Autores: Juan Zuluaga-Gomez, Petr Motlicek, Qingran Zhan, Karel Veselý, Rudolf Braun
Publicado en: Interspeech 2020, 2020, Página(s) 2297-2301
Editor: ISCA
DOI: 10.21437/interspeech.2020-2173

A Comparison of Methods for OOV-Word Recognition on a New Public Dataset

Autores: Rudolf Braun; Srikanth Madikeri; Petr Motlicek
Publicado en: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Edición 1, 2021, Página(s) 5979-5983, ISBN 978-1-7281-7605-5
Editor: IEEE
DOI: 10.1109/icassp39728.2021.9415124

Boosting of contextual information in ASR for air-traffic call-sign recognition

Autores: Martin Kocour, Karel Vesely, Alexander Blatt, Juan Zuluaga Gomez, Igor Szoke, Jan “Honza” Cernocky, Dietrich Klakow, Petr Motlicek
Publicado en: Interspeech 2021, 2021, Página(s) 3301-3305
Editor: 2021 International Speech Communication Association
DOI: 10.21437/interspeech.2021-1619