文献类型：期刊文献

英文题名：ATCCaps: A Call-Sign-Aware Speech Dataset for Air Traffic Control Recognition

作者：Li, Dongdong[1]; Song, Jianwei[1]; Wang, Jianwei[1]; Wang, Zhe[1]

机构：[1] Department of Computer Science and Technology, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, China

年份：2026

外文期刊名：arXiv

收录：EI(收录号：20260364836)

语种：英文

外文关键词：Air navigation - Air transportation - Audio recordings - Character recognition - Digital avionics - Fighter aircraft - Flight control systems - Safety engineering - Speech communication - Speech recognition - Statistical tests

摘要：Call signs are safety-critical entities in air traffic control (ATC) communications because they identify the target aircraft of each spoken instruction. This paper presents ATCCaps, a call-sign-aware ATC speech dataset with caption-level audio-text supervision. Built from real ATC radiotelephony recordings, ATCCaps contains 202.94 hours of curated audio, 170,385 utterances, and 922 unique normalized call signs. The construction pipeline combines confidence-aware transcript parsing, ADS-B-derived call-sign metadata, call-sign normalization, rule-based quality filtering, and LLM-assisted caption generation. Each retained sample is paired with transcript descriptions, call-sign descriptions, and ATC-style captions, supporting ASR evaluation, call-sign matching, and call-sign-aware audio-text retrieval. We further characterize ATCCaps through split statistics, call-sign coverage, seen/unseen call-sign analysis, filtering audits, and caption quality evaluation. The evaluation subset is derived from the human-annotated ATCO2-test-set, enabling reference evaluation with manual transcripts. Results show that ATCCaps provides scalable audio-grounded call-sign supervision, while caption analysis highlights the need to explicitly validate call-sign and numeric fidelity. Reference ASR and CLAP-based baselines demonstrate the usability of ATCCaps for call-sign-aware ATC speech modeling. Copyright ? 2026, The Authors. All rights reserved.