SPECTRA: Subspace-Preserving Embedding Calibration, Transport, and Replay for Fully Few-Shot Class-Incremental Audio Classification

arXiv:2608.25054 · cs.SD, cs.AI · Submitted 2026-08-25 · Read on arXiv

cs.SD, cs.AI

Submitted: 2026-08-25

Updated: 2026-08-25

Terminology

• Embeddings — 15× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Optimal Transport — 7× in this paper · explained in 5 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Catastrophic Forgetting — 2× in this paper · explained in 5 episodes
• Continual Learning — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Affective Computing — 1× in this paper · explained in 1 episode
• Distillation — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes
• SpurAudio: A Benchmark for Studying Shortcut Learning in Few-Shot Audio Classification
• Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor

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