Music Modeling on J.S. Bach Chorales 16th notes (val)
0.22Validation NLLTonicNet
Evaluation Results
| Method | Links | |
|---|---|---|
| TonicNetInput parts=CSATB, Repetition encoding (Z)=true, Data Augmentation=Tr+MM (Transposition + Major-to-Minor), Evaluation Protocol=NCL (No Chord Loss)2019.11 | 0.22 | |
| TonicNetInput parts=CSATB, Repetition encoding (Z)=true, Data Augmentation=Tr (Transposition), Evaluation Protocol=NCL (No Chord Loss)2019.11 | 0.224 | |
| TonicNetInput parts=CSATB, Repetition encoding (Z)=true, Data Augmentation=Tr+MM (Transposition + Major-to-Minor), Evaluation Protocol=Include chord loss2019.11 | 0.317 | |
| TonicNetInput parts=CSATB, Repetition encoding (Z)=true, Data Augmentation=Tr (Transposition), Evaluation Protocol=Include chord loss2019.11 | 0.321 | |
| Relative Transformer + cpsi + relative pitch and timeLayers=5L, Hidden size=512hs, Attention size=512att, Filter size=512ff, Relative distance (r)=256r, Heads=8h, cpsi=true, relative pitch and time=true2018.09 | 0.335 | |
| Music TransformerInput parts=SATB2019.11 | 0.335 | |
| Relative Transformer + concat positional sinusoids, instrument labels (cpsi)Layers=5L, Hidden size=512hs, Attention size=512att, Filter size=512ff, Relative distance (r)=256r, Heads=8h, cpsi=true2018.09 | 0.347 | |
| Relative TransformerLayers=5L, Hidden size=512hs, Attention size=512att, Filter size=512ff, Relative distance (r)=256r, Heads=8h2018.09 | 0.357 | |
| TF baseline + concat positional sinusoids, instrument labels (cpsi)Layers=5L, Hidden size=256hs, Attention size=256att, Filter size=1024ff, Heads=8h, cpsi=true2018.09 | 0.37 | |
| TransformerInput parts=CSATB, Evaluation Protocol=NCL (No Chord Loss)2019.11 | 0.394 | |
| TF baseline + concat positional sinusoids (cps)Layers=5L, Hidden size=256hs, Attention size=256att, Filter size=1024ff, Heads=8h, cps=true2018.09 | 0.398 | |
| Transformer (TF) baselineLayers=5L, Hidden size=256hs, Attention size=256att, Filter size=1024ff, Heads=8h2018.09 | 0.417 | |
| TonicNetInput parts=CSATB, Repetition encoding (Z)=true, Data Augmentation=None, Evaluation Protocol=Include chord loss2019.11 | 0.422 | |
| COCONET (CNN, chronological)Type=CNN, chronological, Layers=64L, Filter=128 3x3f2018.09 | 0.436 | |
| COCONETInput parts=SATB, Prediction Order=chronological2019.11 | 0.436 | |
| TonicNetInput parts=SATB, Repetition encoding (Z)=true2019.11 | 0.497 | |
| TransformerInput parts=CSATB, Evaluation Protocol=Include chord loss2019.11 | 0.503 | |
| TonicNetInput parts=CSB (Chords + Soprano + Bass)2019.11 | 0.516 | |
| TonicNetInput parts=S (Soprano)2019.11 | 0.521 | |
| TonicNetInput parts=SATB, Repetition encoding (Z)=false2019.11 | 0.523 | |
| TransformerInput parts=SATB2019.11 | 0.544 | |
| TonicNetInput parts=SB (Soprano + Bass)2019.11 | 0.555 | |
| TonicNetInput parts=CS (Chords + Soprano)2019.11 | 0.588 | |
| TonicNetInput parts=B (Bass)2019.11 | 0.716 | |
| TonicNetInput parts=C (Chords)2019.11 | 0.936 |