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- license: mit
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+ ---
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+ license: mit
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+ ---
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+ # MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ Here is the training checkpoints of **[MusER (AAAI'24)](https://arxiv.org/abs/2312.10307)**
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+
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+ ## Overview
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+
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+ MusER employs musical element-based regularization in the latent space to disentangle distinct musical elements, investigate their roles in distinguishing emotions, and further manipulate elements to alter musical emotions.
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+ <img src="MusER.png" width="770" height="300" alt="model"/>
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+
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+ ## Model Sources
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+
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+ <!-- Provide the basic links for the model. -->
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+ - **Repository:** https://github.com/Tayjsl97/MusER
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+ - **Demo:** [demo page](https://tayjsl97.github.io/demos/aaai)
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+
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+ ## Citation
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+ If you use our models in your research, please cite it as follows:
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+ ```bib
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+ @inproceedings{ji2024muser,
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+ title={MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion},
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+ author={Ji, Shulei and Yang, Xinyu},
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+ booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
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+ volume={38},
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+ number={11},
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+ pages={12821--12829},
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+ year={2024}
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+ }