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Communication Dans Un Congrès Année : 2018

A Real-life, French-accented Corpus of Air Traffic Control Communications

Estelle Delpech
Céline Raynal​
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  • PersonId : 1029156
Dominique Pronto​
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  • PersonId : 1029157

Résumé

This paper describes the creation of the AIRBUS-ATC corpus, which is a real-life, French-accented speech corpus of Air Traffic Control (ATC) communications (message exchanged between pilots and controllers) intended to build a robust ATC speech recognition engine. The corpus is currently composed of 59 hours of transcribed English audio, along with linguistic and meta-data annotations. It is intended to reach 100 hours by the end of the project. We describe ATC speech specificities, how the audio is collected, transcribed and what techniques were used to ensure transcription quality while limiting transcription costs. A detailed description of the corpus content (speaker gender, accent, role, type of control, speech turn duration) is given. Finally, preliminary results obtained with state-of-the-art speech recognition techniques support the idea that accent-specific corpora will play a pivotal role in building robust ATC speech recognition applications.
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Dates et versions

hal-01725882 , version 1 (07-03-2018)

Identifiants

  • HAL Id : hal-01725882 , version 1

Citer

Estelle Delpech, Marion Laignelet​, Christophe Pimm​, Céline Raynal​, Michal Trzos​, et al.. A Real-life, French-accented Corpus of Air Traffic Control Communications. Language Resources and Evaluation Conference (LREC), May 2018, Miyazaki, Japan. ⟨hal-01725882⟩
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