An attention model improves multi-label instrument recognition accuracy on the weakly labeled OpenMIC dataset compared to baseline, RNN, and fully connected networks across 20 instruments.
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
We propose a simplified model of attention which is applicable to feed-forward neural networks and demonstrate that the resulting model can solve the synthetic "addition" and "multiplication" long-term memory problems for sequence lengths which are both longer and more widely varying than the best published results for these tasks.
fields
cs.IR 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
An Attention Mechanism for Musical Instrument Recognition
An attention model improves multi-label instrument recognition accuracy on the weakly labeled OpenMIC dataset compared to baseline, RNN, and fully connected networks across 20 instruments.