Keywords:
- air surveillance data
- Air traffic control
- air traffic control communications
- ASR
- Automatic Speech Recognition
- call sign detection
- Call-sign Detection
- Call-sign Recognition
- Contextual Adaptation
- deep neural networks
- GDPR
- GMM
- HTK
- language identification
- Lattice-Free MMI
- legal framework
- named entity recognition
- Natural language processing
- OpenSky Network
- personal data processing
- Robust Automatic Speech Recognition
- SGMM
- signal processing
- Spoken Language Understanding
- transfer learning
Publications of Karel Vesely sorted by first author
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Readback Error Detection by Automatic Speech Recognition to Increase ATM Safety, , , , , , , , , , , , , and , in: Fourteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2021), The United States Federal Aviation Administration (FAA), EUROCONTROL, pages 10, 2021 |
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Boosting of contextual information in ASR for air-traffic call-sign recognition, , , , , , , and , in: Interspeech 2021, 2021 |
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Automatic processing pipeline for collecting and annotating air-traffic voice communication data, , , , , , , , , and , in: Proceedings of 9th OpenSky Symposium 2020, OpenSky Network, Brussels, Belgium, pages 1-9, MDPI, 2021 |
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The Kaldi Speech Recognition Toolkit, , , , , , , , , , , , and , Idiap-RR-04-2012 |
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The Kaldi Speech Recognition Toolkit, , , , , , , , , , , , and , in: IEEE 2011 Workshop on Automatic Speech Recognition and Understanding, Hilton Waikoloa Village, Big Island, Hawaii, US, IEEE Signal Processing Society, 2011 |
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Generating Exact Lattices in The WFST Framework, , , , , , , , , , , , and , in: Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing., The 37th International Conference on Acoustics, Speech, and Signal Processing, Kyoto, JP, Kyoto, Japan, pages 4213-4216, IEEE Signal Processing Societ, 2012 |
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Speech and Natural Language Processing Technologies for Pseudo-Pilot Simulator, , , , , and , in: 12th SESAR Innovation Days, 2022 |
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Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems, , , , , , and , Idiap-RR-14-2021 |
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Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems, , , , , , and , in: Interspeech 2021, 2021 |
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Automatic Speech Recognition Benchmark for Air-Traffic Communications, , , , and , in: Proc. Interspeech 2020, pages 2297-2301, 2020 |
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Automatic Call Sign Detection: Matching Air Surveillance Data with Air Traffic Spoken Communications, , , , , , , , , , , , , , , and , in: Proceedings of 8th OpenSky Symposium 2020, OpenSky Network, pages 1-10, MDPI, 2020 |
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