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1from huggingface_hub import snapshot_download
2
3model_dir = snapshot_download("monetjoe/EMelodyGen", cache_dir="./__pycache__")
4print(model_dir)1GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:monetjoe/EMelodyGen
2cd EMelodyGen| Dataset | Loss curve | Min eval loss |
|---|---|---|
| VGMIDI |  | 0.23854530873296725 |
| EMOPIA |  | 0.26802811984950936 |
| Rough4Q |  | 0.2299637847539768 |
1@inproceedings{11152266,
2 author = {Zhou, Monan and Li, Xiaobing and Yu, Feng and Li, Wei},
3 booktitle = {2025 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)},
4 title = {EMelodyGen: Emotion-Conditioned Melody Generation in ABC Notation with the Musical Feature Template},
5 year = {2025},
6 pages = {1-6},
7 keywords = {Correlation;Codes;Conferences;Confusion matrices;Music;Psychology;Data augmentation;Complexity theory;Reliability;Melody generation;controllable music generation;ABC notation;emotional condition},
8 doi = {10.1109/ICMEW68306.2025.11152266}
9}1@article{zhou_li_yu_li_2025,
2 title = {EMelodyGen: Emotion-Conditioned Melody Generation in ABC Notation with Musical Feature Templates},
3 volume = {1},
4 issn = {2982-3439},
5 doi = {10.53941/tai.2025.100013},
6 number = {1},
7 journal = {Transactions on Artificial Intelligence},
8 publisher = {Scilight Press},
9 author = {Zhou, Monan and Li, Xiaobing and Yu, Feng and Li, Wei},
10 year = {2025},
11 pages = {199–211}
12}