Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignment
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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 data. We propose a framework that aligns these encoders with medical terminology in a…
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- 2026-09-02 04:00 · arXiv cs.CL
Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignment