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Few Shot Audio Classification On Voxceleb1

Metrics

Top-1 Accuracy(5-Way-1-Shot)

Results

Performance results of various models on this benchmark

Paper Title
Meta-Curvature (CRNN)63.85 +- 0.44MetaAudio: A Few-Shot Audio Classification Benchmark
MAML (CRNN)60.89 +- 0.45MetaAudio: A Few-Shot Audio Classification Benchmark
Prototypical Networks (CRNN)59.64 +- 0.44MetaAudio: A Few-Shot Audio Classification Benchmark
Meta-Baseline (CRNN)55.54 +- 0.42MetaAudio: A Few-Shot Audio Classification Benchmark
SimpleShot CL2N (CRNN)48.50 +- 0.42MetaAudio: A Few-Shot Audio Classification Benchmark
MT-SLVR (SimCLR + MLAP) w/ Parallel Adapters (FSD50K, RN18)33.58±0.39MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
SimCLR (FSD50K, RN18)31.18±0.37MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
SimpleShot CL2N (AST ImageNet & AudioSet- No fine-tune)28.79 +- 0.38MetaAudio: A Few-Shot Audio Classification Benchmark
SimpleShot CL2N (AST ImageNet - No fine-tune)28.09 +- 0.37MetaAudio: A Few-Shot Audio Classification Benchmark
Multi-Label Augmentation Prediction (FSD50K, RN18)21.68±0.40MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
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Few Shot Audio Classification On Voxceleb1 | SOTA | HyperAI