A MAML-trained CRNN outperforms supervised and transfer-learning baselines for low-resource tabla stroke transcription, and two simple scoring methods identify tala from transcribed strokes.
Model-agnostic meta-learning for fast adaptation of deep networks,
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Meta-learning-based percussion transcription and $t\bar{a}la$ identification from low-resource audio
A MAML-trained CRNN outperforms supervised and transfer-learning baselines for low-resource tabla stroke transcription, and two simple scoring methods identify tala from transcribed strokes.