Automatic speech recognition in noise polluted cockpit environments for monitoring the approach briefing in commercial aviation
Semantic Scholar · Article · 5d6992335d8beacde139cb433e7880c48adcb7df · Published 2022-01-01 · 10 authors
Abstract and citation only, verbatim from Semantic Scholar; full text lives there. All credit to the authors and Semantic Scholar.
Abstract
The language processing part of the overall system is described, which is a commercially available automatic speech recognition system trained on aviation specific vocabulary and strategies for dealing with cockpit noise.
Authors
- Sven Bollmann
- Jonas F¨ullgraf
- Christian Roxlau
- T. Feuerle
- P. Hecker
- Aravind Krishnan
- Simon Ostermann
- D. Klakow
- Nicolas Großmann
- Stefan M¨uller-Div´eky
Keywords
- Engineering
- Computer Science
Citation
Sven Bollmann, Jonas F¨ullgraf, Christian Roxlau , et al. (2022). Automatic speech recognition in noise polluted cockpit environments for monitoring the approach briefing in commercial aviation. Semantic Scholar ID 5d6992335d8beacde139cb433e7880c48adcb7df. https://www.semanticscholar.org/paper/5d6992335d8beacde139cb433e7880c48adcb7df ↗