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cs.SD2025
Prototypical Contrastive Learning For Improved Few-Shot Audio Classification
Christos Sgouropoulos, Christos Nikou, Stefanos Vlachos +3
Few-shot learning has emerged as a powerful paradigm for training models with limited labeled data, addressing challenges in scenarios where large-scale annotation is impractical.…
cs.SD2025
Contrastive and Transfer Learning for Effective Audio Fingerprinting through a Real-World Evaluation Protocol
Christos Nikou, Theodoros Giannakopoulos
Recent advances in song identification leverage deep neural networks to learn compact audio fingerprints directly from raw waveforms. While these methods perform well under control…