Ten hours of air traffic control operator speech recorded during real-time simulations. The utterances are in English and pronounced by ten non-native speakers. The corpus was provided by Graz University of Technology and the Eurocontrol Experimental Centre.
Use Cases
- Train automatic speech recognition models based on air traffic control operator speech.
- Develop speaker identification or diarization systems based on recordings from ten speakers.
- Analyze non-native English speech patterns in a high-stakes, procedural domain.
- Benchmark speech processing models on a domain-specific, simulation-derived audio corpus.
Strengths
- Contains ten hours of speech data, providing a substantial audio corpus.
- Recorded using a close-talk headset microphone, which likely ensures high audio quality.
- Data originates from a controlled simulation environment provided by academic and institutional sources.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last updated 2022-12-05 11:14:57; freshness should be verified.
Provenance
- Source
- Graz University of Technology (TUG) and Eurocontrol Experimental Centre (EEC)
- Collection Method
- Recorded during ATC real-time simulations using a close-talk headset microphone.
- Freshness
- 2022-12-05