CaReAQA, an audio-language model tuned on GPT-4o-generated QA pairs from public stethoscope recordings, beats general-purpose audio models on its own benchmark, but the open-ended evaluation is partly self-referential and the abstract overstates the headline number.
Respiratorydatabase@tr (copd severity analysis)
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CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning
CaReAQA, an audio-language model tuned on GPT-4o-generated QA pairs from public stethoscope recordings, beats general-purpose audio models on its own benchmark, but the open-ended evaluation is partly self-referential and the abstract overstates the headline number.