Instrument Recognition on OpenMIC-2018
mean average precision
- 2021-10-11 — PaSST: mean average precision 0.843
- 2023-06-30 — EAsT-KD + PaSST: mean average precision 852.0
| Rank | Model | mean average precision | Extra Training Data | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | DyMN-L | 0.855 | ✓ | Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models | fschmid56/efficientat | 2023 |
| 2 | MATPAC (SSL Model, linear eval) | 0.854 | Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning | aurianworld/matpac | 2025 | |
| 3 | EAsT-KD + PaSST | .852 | Audio Embeddings as Teachers for Music Classification | suncerock/EAsT-music-classification | 2023 | |
| 4 | EAsT-Final + PaSST | .847 | Audio Embeddings as Teachers for Music Classification | suncerock/EAsT-music-classification | 2023 | |
| 5 | PaSST | 0.843 | ✓ | Efficient Training of Audio Transformers with Patchout | kkoutini/passt · kkoutini/passt_hear21 | 2021 |