Musical Source Separation of Brazilian Percussion

Type de record:

papersoftwaremodel

Créateur:

NamMorFue

Hôte:

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. 2 pages + references, 1 figure, 1 table, Extended Abstracts for the Late-Breaking Demo Session of the 25th International Society for Music Information Retrieval Conference

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