Selective annotation of few data for beat tracking of Latin American music using rhythmic features.
Training state-of-the-art beat tracking models usually requires large amounts of annotated data. It is widely known that data annotation is a time-consuming process and generally involves expert knowledge in the context of MIR. This can be particularly challenging if we consider culture-specific dat...
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| Other Authors: | , , |
| Format: | article |
| Language: | English |
| Published: |
2024
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| Online Access: | https://transactions.ismir.net/articles/10.5334/tismir.170 https://hdl.handle.net/20.500.12008/43862 |
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