A 13 MB LoRA adapter that fine-tunes OpenAI's whisper-large-v3-turbo for US air-traffic-control radio. It is not a full model: the stock turbo weights (~1.6 GB) come from Hugging Face and the adapter is applied on top. MIT licensed. On 156 held-out ATC clips it takes word error rate from 56% to 32% and identifier recall (callsign digits, airline names, runway sides) from You need Python 3.10+ and ffmpeg on your PATH. The first run downloads the base model. The script uses CUDA, Apple MPS or the CPU, whichever it finds (--device overrides), and prints one file transcript line per input. Feed it one radio transmission per file, cut at the squelch or by a voice-activity detector. That is what…
Independent publisher
Thomas Eibner
thomaseibner
ATC audio transcription
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Published tasks: Speech recognition.
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