Publication Details

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

ZULUAGA-GOMEZ Juan, NIGMATULINA Iuliia, PRASAD Amrutha, MOTLÍČEK Petr, VESELÝ Karel, KOCOUR Martin and SZŐKE Igor. Contextual Semi-Supervised Learning: An Approach to Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems. In: Proceedings Interspeech 2021. Brno: International Speech Communication Association, 2021, pp. 3296-3300. ISSN 1990-9772. Available from: https://www.isca-speech.org/archive/interspeech_2021/zuluagagomez21_interspeech.html
Czech title
Kontextové učení s mírnou supervizí: přístup k využití radarových dat a nepřepsané řeči pro systémy rozpoznávání řeči
Type
conference paper
Language
english
Authors
Zuluaga-Gomez Juan (IDIAP)
Nigmatulina Iuliia (IDIAP)
Prasad Amrutha (DCGM FIT BUT)
Motlíček Petr, Ing., Ph.D. (IDIAP)
Veselý Karel, Ing., Ph.D. (DCGM FIT BUT)
Kocour Martin, Ing. (DCGM FIT BUT)
Szőke Igor, Ing., Ph.D. (ReplayWell)
URL
Keywords

automatic speech recognition, contextual semisupervised learning, air traffic control, air-surveillance data, callsign detection.

Published
2021
Pages
3296-3300
Journal
Proceedings of Interspeech - on-line, vol. 2021, no. 8, ISSN 1990-9772
Proceedings
Proceedings Interspeech 2021
Conference
22ND ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, Brno, CZ
Publisher
International Speech Communication Association
Place
Brno, CZ
DOI
BibTeX
@INPROCEEDINGS{FITPUB12611,
   author = "Juan Zuluaga-Gomez and Iuliia Nigmatulina and Amrutha Prasad and Petr Motl\'{i}\v{c}ek and Karel Vesel\'{y} and Martin Kocour and Igor Sz\H{o}ke",
   title = "Contextual Semi-Supervised Learning: An Approach to Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems",
   pages = "3296--3300",
   booktitle = "Proceedings Interspeech 2021",
   journal = "Proceedings of Interspeech - on-line",
   volume = 2021,
   number = 8,
   year = 2021,
   location = "Brno, CZ",
   publisher = "International Speech Communication Association",
   ISSN = "1990-9772",
   doi = "10.21437/Interspeech.2021-1373",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12611"
}
Back to top