Orchestral Music Generation on SymphonyNet (val)
0.726CLaMPSymphonyGen
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| SymphonyGen(λhn, λnn)=(0, 0), Reinforcement Learning=true2026.04 | 0.726 | 6.04 | 0.944 | 0.704 | 0.402 | 0.031 | 0.288 | 0.102 | |
| SymphonyGen(λhn, λnn)=(1, 10), Reinforcement Learning=true2026.04 | 0.726 | 5.94 | 0.958 | 0.712 | 0.236 | 0.009 | 0.3 | 0.113 | |
| SymphonyGen(λhn, λnn)=(1, 2), Reinforcement Learning=true2026.04 | 0.724 | 6.15 | 0.957 | 0.711 | 0.248 | 0.014 | 0.294 | 0.097 | |
| SymphonyGen(λhn, λnn)=(5, 20), Reinforcement Learning=true2026.04 | 0.72 | 6.2 | 0.949 | 0.693 | 0.159 | 0.008 | 0.288 | 0.098 | |
| SymphonyGen(λhn, λnn)=(0, 0), Reinforcement Learning=false2026.04 | 0.589 | 15.35 | 0.935 | 0.814 | 0.777 | 0.074 | 0.257 | 0.099 | |
| SymphonyNet Dataset(λhn, λnn)=-2026.04 | 0.473 | 10.75 | 1 | 1 | 0.695 | 0.064 | 0.198 | 0.108 | |
| NotaGen(λhn, λnn)=-2026.04 | 0.387 | 5.52 | — | — | — | — | 0.225 | 0.058 |