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  - music
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  ---
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  # MelodyT5: A Unified Score-to-Score Transformer for Symbolic Music Processing [ISMIR 2024]
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- This repository contains the code for the MelodyT5 model as described in the paper [MelodyT5: A Unified Score-to-Score Transformer for Symbolic Music Processing](https://arxiv.org/abs/2402.19155).
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  MelodyT5 is an unified framework for symbolic music processing, using an encoder-decoder architecture to handle multiple melody-centric tasks, such as generation, harmonization, and segmentation, by treating them as score-to-score transformations. Pre-trained on [MelodyHub](https://huggingface.co/datasets/sander-wood/melodyhub), a large dataset of melodies in ABC notation, it demonstrates the effectiveness of multi-task transfer learning in symbolic music processing.
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  fed dB/c/d | efe efg | fed daa | agf eag | fed B2 d | A2 d F2 A | Bdd F2 E | FDD D2 :|
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  ```
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- ## BibTeX
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  ```
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  @misc{wu2024language,
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  title={Beyond Language Models: Byte Models are Digital World Simulators},
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  archivePrefix={arXiv},
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  primaryClass={cs.LG}
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  }
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- ```
 
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  - music
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  ---
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  # MelodyT5: A Unified Score-to-Score Transformer for Symbolic Music Processing [ISMIR 2024]
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+ This repository contains the code for the MelodyT5 model as described in the paper [MelodyT5: A Unified Score-to-Score Transformer for Symbolic Music Processing](https://arxiv.org/abs/2407.02277).
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  MelodyT5 is an unified framework for symbolic music processing, using an encoder-decoder architecture to handle multiple melody-centric tasks, such as generation, harmonization, and segmentation, by treating them as score-to-score transformations. Pre-trained on [MelodyHub](https://huggingface.co/datasets/sander-wood/melodyhub), a large dataset of melodies in ABC notation, it demonstrates the effectiveness of multi-task transfer learning in symbolic music processing.
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  fed dB/c/d | efe efg | fed daa | agf eag | fed B2 d | A2 d F2 A | Bdd F2 E | FDD D2 :|
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  ```
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+ <!-- ## BibTeX
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  ```
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  @misc{wu2024language,
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  title={Beyond Language Models: Byte Models are Digital World Simulators},
 
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  archivePrefix={arXiv},
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  primaryClass={cs.LG}
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  }
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+ ``` -->