Zero-shot respiratory sound classification achieved by aligning self-supervised encoders with medical terminology using an LLM-augmented audio-text framework
Read the original at arxiv.org→arXiv:2609.00055v1 Announce Type: new Abstract: Self-supervised respiratory encoders lack semantic grounding in clinical domain needed for zero-shot inference, limiting their utility without task-specific labeled...
Original headline: "Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignment"
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- Sep 2, 04:00 UTC arXiv cs.CL lead source Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignment