notesum.ai
Published at November 22Open-Amp: Synthetic Data Framework for Audio Effect Foundation Models
eess.AS
cs.AI
cs.SD
Released Date: November 22, 2024
Authors: Alec Wright1, Alistair Carson1, Lauri Juvela2
Aff.: 1University of Edinburgh; 2Aalto University

| Classifier Accuracy | Model | |||
|---|---|---|---|---|
| FxNet (Baseline) | Open-Amp KNN (ours) | Open-Amp MLP (ours) | ||
| Train Set | Test Set | |||
| Mono Disc. | Mono Disc. | 86.3 | 83.0 | 89.3 |
| Mono Cont. | 83.1 | 81.0 | 86.7 | |
| Mono Cont. | Mono Disc. | 81.3 | 76.3 | 81.2 |
| Mono Cont. | 90.9 | 89.3 | 91.9 | |
| Poly Disc. | Poly Disc. | 88.4 | 86.7 | 89.4 |
| Poly Cont. | 89.4 | 85.3 | 86.5 | |
| Poly Cont. | Poly Disc. | 84.1 | 82.7 | 85.4 |
| Poly Cont. | 91.4 | 91.4 | 93.0 | |
| Overall | 86.9 | 84.5 | 87.9 | |