Musical Source Separation of Brazilian Percussion
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911030129459200 |
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| author | Namballa, Richa Morais, Giovana Fuentes, Magdalena |
| author_facet | Namballa, Richa Morais, Giovana Fuentes, Magdalena |
| contents | Musical source separation (MSS) has recently seen a big breakthrough in separating instruments from a mixture in the context of Western music, but research on non-Western instruments is still limited due to a lack of data. In this demo, we use an existing dataset of Brazilian sama percussion to create artificial mixtures for training a U-Net model to separate the surdo drum, a traditional instrument in samba. Despite limited training data, the model effectively isolates the surdo, given the drum's repetitive patterns and its characteristic low-pitched timbre. These results suggest that MSS systems can be successfully harnessed to work in more culturally-inclusive scenarios without the need of collecting extensive amounts of data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_04995 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Musical Source Separation of Brazilian Percussion Namballa, Richa Morais, Giovana Fuentes, Magdalena Audio and Speech Processing Sound Signal Processing Musical source separation (MSS) has recently seen a big breakthrough in separating instruments from a mixture in the context of Western music, but research on non-Western instruments is still limited due to a lack of data. In this demo, we use an existing dataset of Brazilian sama percussion to create artificial mixtures for training a U-Net model to separate the surdo drum, a traditional instrument in samba. Despite limited training data, the model effectively isolates the surdo, given the drum's repetitive patterns and its characteristic low-pitched timbre. These results suggest that MSS systems can be successfully harnessed to work in more culturally-inclusive scenarios without the need of collecting extensive amounts of data. |
| title | Musical Source Separation of Brazilian Percussion |
| topic | Audio and Speech Processing Sound Signal Processing |
| url | https://arxiv.org/abs/2503.04995 |