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cs.SD2026
Prototype-Rectified Iterative Self-supervised Manifold Denoising under Severe Acoustic Shift
Ashish Anand Shukla, Rini Smita Thakur, Aryan Das +1
Audio-Text Foundation Models (ATMs) fail catastrophically under severe acoustic noise, yet existing adaptation strategies either rely on gradient-based Test-Time Adaptation (TTA),…
cs.SD2024
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation
Riyansha Singh, Parinita Nema, Vinod K Kurmi
In machine learning applications, gradual data ingress is common, especially in audio processing where incremental learning is vital for real-time analytics. Few-shot class-increme…