Automatic speech recognition in noise polluted cockpit environments for monitoring the approach briefing in commercial aviation

Published 2022-01-01 10 authors

Attribution

This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and Semantic Scholar.

Abstract

Verbatim from Semantic Scholar. Not paraphrased, not summarized.

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 ↗