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.
Sequence labeling with meta-learning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.