Segment-Factorized Full-Song Generation on Symbolic Piano Music
Fuente:
arXiv
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866918155844059136 |
|---|---|
| author | Chen, Ping-Yi Tan, Chih-Pin Yang, Yi-Hsuan |
| author_facet | Chen, Ping-Yi Tan, Chih-Pin Yang, Yi-Hsuan |
| contents | We propose the Segmented Full-Song Model (SFS) for symbolic full-song generation. The model accepts a user-provided song structure and an optional short seed segment that anchors the main idea around which the song is developed. By factorizing a song into segments and generating each one through selective attention to related segments, the model achieves higher quality and efficiency compared to prior work. To demonstrate its suitability for human-AI interaction, we further wrap SFS into a web application that enables users to iteratively co-create music on a piano roll with customizable structures and flexible ordering. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_05881 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Segment-Factorized Full-Song Generation on Symbolic Piano Music Chen, Ping-Yi Tan, Chih-Pin Yang, Yi-Hsuan Sound Artificial Intelligence Machine Learning Multimedia Audio and Speech Processing We propose the Segmented Full-Song Model (SFS) for symbolic full-song generation. The model accepts a user-provided song structure and an optional short seed segment that anchors the main idea around which the song is developed. By factorizing a song into segments and generating each one through selective attention to related segments, the model achieves higher quality and efficiency compared to prior work. To demonstrate its suitability for human-AI interaction, we further wrap SFS into a web application that enables users to iteratively co-create music on a piano roll with customizable structures and flexible ordering. |
| title | Segment-Factorized Full-Song Generation on Symbolic Piano Music |
| topic | Sound Artificial Intelligence Machine Learning Multimedia Audio and Speech Processing |
| url | https://arxiv.org/abs/2510.05881 |