#respiratory-sound-classification News & Analysis

2 articles tagged with #respiratory-sound-classification. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · 7h ago5/10

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Quality Adaptive Angular Margin Learning for Respiratory Sound Classification

Researchers present QLung, a machine learning framework that uses quality-adaptive angular margin learning to improve respiratory sound classification. The approach achieves 2.46% performance improvement on the ICBHI dataset and demonstrates superior out-of-distribution generalization on the SPRSound dataset compared to existing methods.

AIBullisharXiv – CS AI · 7h ago6/10

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Lung-SRAD: Spectral-Aware Regularized Audio DASS with Dual-Axis Patch-Mix Contrastive Learning for Respiratory Sound Classification

Researchers introduce Lung-SRAD, a novel respiratory sound classification system using State Space Models instead of traditional transformer architectures, achieving 64.48% accuracy on the ICBHI benchmark—a 5% improvement over the Audio Spectrogram Transformer baseline. The approach combines spectral-aware regularization with dual-axis patch-mix contrastive learning to better detect localized abnormal respiratory patterns.