Music Transcription On Musicnet
Metrics
APS
Number of params
Results
Performance results of various models on this benchmark
Model Name | APS | Number of params | Paper Title | Repository |
|---|---|---|---|---|
| Complex Transformer | 74.22 | 11.61M | Complex Transformer: A Framework for Modeling Complex-Valued Sequence | - |
| Deep Complex Network | 72.9 | 8.8M | Deep Complex Networks | - |
| Concatenated Transformer | 71.3 | 9.79M | Complex Transformer: A Framework for Modeling Complex-Valued Sequence | - |
| CNN (64 stride) | 67.8 | - | Learning Features of Music from Scratch | - |
| Residual Shuffle-Exchange network | 78.02 | 3.06M | Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences | - |
| Deep Real Network | 69.6 | 10.0M | Deep Complex Networks | - |
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