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cs.SD2025
Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification
Seung Gyu Jeong, Seong Eun Kim
In this technical report, we describe our submission for Task 1, Low-Complexity Device-Robust Acoustic Scene Classification, of the DCASE 2025 Challenge. Our work tackles the dual…
cs.SD2025
Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone
Seung Gyu Jeong, Seong Eun Kim
Auscultation is crucial for diagnosing lung diseases. The COVID-19 pandemic has revealed the limitations of traditional, in-person lung sound assessments. To overcome these issues,…
cs.SD2025
Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses
Seung Gyu Jeong, Seong Eun Kim
Lung sound classification is vital for early diagnosis of respiratory diseases. However, biomedical signals often exhibit inter-patient variability even among patients with the sam…