ATCCaps is a call-sign-aware ATC speech dataset containing 202.94 hours of audio, 170385 utterances and 922 unique call signs, constructed via transcript parsing, ADS-B metadata, normalization, filtering and LLM captioning.
The airbus air traffic control speech recognition 2018 challenge: Towards atc automatic transcription and call sign detection,
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ATCCaps: A Call-Sign-Aware Speech Dataset for Air Traffic Control Recognition
ATCCaps is a call-sign-aware ATC speech dataset containing 202.94 hours of audio, 170385 utterances and 922 unique call signs, constructed via transcript parsing, ADS-B metadata, normalization, filtering and LLM captioning.