✨Geometry-Aware Optimization for Respiratory Sound Classification: Enhancing Sensitivity with SAM-Optimized Audio Spectrogram Transformers
📝 Summary:
This paper improves respiratory sound classification using AST enhanced with SAM. It optimizes loss surface geometry for flatter minima, yielding state-of-the-art 68.10% score and crucial 68.31% sensitivity on ICBHI 2017.
🔹 Publication Date: Published on Dec 27, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22564
• PDF: https://arxiv.org/pdf/2512.22564
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For more data science resources:
✓ https://t.me/DataScienceT
#RespiratoryHealth #MedicalAI #DeepLearning #SoundClassification #AIHealthcare
📝 Summary:
This paper improves respiratory sound classification using AST enhanced with SAM. It optimizes loss surface geometry for flatter minima, yielding state-of-the-art 68.10% score and crucial 68.31% sensitivity on ICBHI 2017.
🔹 Publication Date: Published on Dec 27, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22564
• PDF: https://arxiv.org/pdf/2512.22564
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#RespiratoryHealth #MedicalAI #DeepLearning #SoundClassification #AIHealthcare