Keywords:
- ADS-B data
- air surveillance data
- Air traffic control
- air traffic control communications
- Automatic Speech Recognition
- automatic speech recognition and understanding
- call sign detection
- Call-sign Detection
- Call-sign Recognition
- Confidence Measure (CM)
- Contextual Adaptation
- GDPR
- KeyWord Spotting (KWS)
- language identification
- Large Vocabulary Continuous Speech Recognition (LVCSR)
- legal framework
- named entity recognition
- Natural language processing
- OpenSky Network
- personal data processing
- Robust Automatic Speech Recognition
- signal processing
- Spoken Language Understanding
- Spoken Term Detection (STD)
Publications of Igor Szoke sorted by first author
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Lessons Learned in Transcribing 5000 h of Air Traffic Control Communications for Robust Automatic Speech Understanding, , , , , , , , , , and , in: Aerospace, 10(10):898, 2023 |
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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 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 |
[DOI] [URL] |
K
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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M
IMPROVING ACOUSTIC BASED KEYWORD SPOTTING USING LVCSR LATTICES, , and , Idiap-RR-36-2012 |
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IMPROVING ACOUSTIC BASED KEYWORD SPOTTING USING LVCSR LATTICES, , and , in: Proceedings on IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Japan, pages 4413-4416, 2012 |
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Fast Approximate Spoken Term Detection from Sequence of Phonemes, , , and , Idiap-RR-45-2008 |
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Fast Approximate Spoken Term Detection from Sequence of Phonemes, , , and , in: Workshop on Searching Spontaneous Conversational Speech at SIGIR, 2008 |
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