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Trained models: Supervised symbolic music style translation using synthetic data
Cífka, Ondřej
TensorFlow model checkpoints accompanying the ISMIR 2019 paper ‘Supervised symbolic music style translation using synthetic data’.
To be extracted inside the ‘experiments’ directory of the source code repository.
Files
(465.8 MB)
| Name | Size | |
|---|---|---|
|
all2bass.zip
md5:8fa70fcceec6f0eeb757ac43acdb38f2 |
96.0 MB | Download |
|
all2piano.zip
md5:5d323f345d8da8abe43b3a24f040accd |
96.1 MB | Download |
|
bass2bass_roll2seq.zip
md5:223d3f97a33ce65388da2f735f51a095 |
96.2 MB | Download |
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bass2bass_seq2seq.zip
md5:193f01cabc1f462224027bbeb483e0a9 |
81.6 MB | Download |
|
piano2piano.zip
md5:eab79c51e24353cc83f2d29717672337 |
96.0 MB | Download |
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| All versions | This version | |
|---|---|---|
| Views | 204 | 205 |
| Downloads | 196 | 196 |
| Data volume | 18.5 GB | 18.5 GB |
| Unique views | 177 | 178 |
| Unique downloads | 59 | 59 |
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- Publication date:
- June 13, 2019
- DOI:
-
- Grants:
-
European Commission:
- MIP-Frontiers - New Frontiers in Music Information Processing (765068)
- Related identifiers:
- Supplement to
- License (for files):
- Creative Commons Attribution Non Commercial Share Alike 4.0 International