Automatic Drum Transcription on IDMT-SMT-Drums
94.9Onset F1 ScoreN2N
Evaluation results
| Method | Links | |
|---|---|---|
| N2NSampling steps=10, Training data=E-GMD, Model Type=Generative, Architecture=Transformer, Velocity Capability=Yes2025.09 | 94.9 | |
| ADTOFTraining data=ADTOF, Model Type=Discriminative, Architecture=CRNN, Velocity Capability=No2025.09 | 94.67 | |
| N2NSampling steps=5, Training data=E-GMD, Model Type=Generative, Architecture=Transformer, Velocity Capability=Yes2025.09 | 93.74 | |
| DT-EnsembleTraining data=TMIDT(-Bal), MDB, ENST, RBMA, Model Type=Discriminative, Architecture=CRNN, Velocity Capability=No2025.09 | 91.49 | |
| N2NSampling steps=1, Training data=E-GMD, Model Type=Generative, Architecture=Transformer, Velocity Capability=Yes2025.09 | 91.22 | |
| OaF DrumsTraining data=E-GMD, Model Type=Discriminative, Architecture=CRNN, Velocity Capability=Yes2025.09 | 85.72 | |
| hFT-TransformerTraining data=E-GMD, Model Type=Discriminative, Architecture=Transformer, Velocity Capability=Yes2025.09 | 70.61 |