| Metadato | Etiqueta | Valor | Idioma |
|---|---|---|---|
| dc.contributor.author | Autor | Maia, Lucas Simões | - |
| dc.contributor.author | Autor | Rocamora, Martín | - |
| dc.contributor.author | Autor | Biscainho, Luiz W. P. | - |
| dc.contributor.author | Autor | Fuentes, Magdalena | - |
| dc.contributor.filiacion | Filiación | Maia Lucas Simões, Universidade Federal do Rio de Janeiro, Brazil | - |
| dc.contributor.filiacion | Filiación | Rocamora Martín, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
| dc.contributor.filiacion | Filiación | Biscainho Luiz W. P., Universidade Federal do Rio de Janeiro | - |
| dc.contributor.filiacion | Filiación | Fuentes Magdalena, New York University, United States | - |
| dc.date.accessioned | Fecha ingreso | 2024-05-17T14:33:38Z | - |
| dc.date.available | Fecha disponible | 2024-05-17T14:33:38Z | - |
| dc.date.issued | Año de publicación | 2024 | - |
| dc.description.abstract | Resumen | 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 datasets. Previous research has shown that, under certain homogeneity conditions, it is possible to obtain good tracking results with these models using few training datapoints. However, this shifts the problem to that of the selection of these data. In this paper, we propose a methodology for selectively annotating meaningful samples from a dataset with the objective of training a beat tracker. We extract a rhythmic feature from each track and apply selection methods in the feature space limited by a budget of samples to be annotated. We then train a TCN-based state-of-the-art model using the selected data. The trained model is shown to perform well on the remainder of the dataset when compared to random selection. We hope that our study will alleviate the annotation process of culture-specific datasets and ultimately help build a more culturally diverse perspective in the field of Music Information Retrieval. | es |
| dc.description.sponsorship | Financiadores | Este trabajo fue parcialmente apoyado por la Coordinación para el Perfeccionamiento del Personal de Educación Superior – Brasil (CAPES) – Código de Finanzas 001 | es |
| dc.description.sponsorship | Financiadores | El Consejo Nacional de Desarrollo Científico y Tecnológico (CNPq) – números de subvención 141356/2018-9 y 311146/2021-0 | es |
| dc.description.sponsorship | Financiadores | El Sistema Nacional de Investigadores – Agencia Nacional de Investigación e Innovación (SNI-ANII) | es |
| dc.format.extent | Extensión | 14 p. | es |
| dc.format.mimetype | Formato | application/pdf | es |
| dc.identifier.citation | Citación | Maia, L., Rocamora, M., Biscainho, L. y otros. "Selective annotation of few data for beat tracking of Latin American music using rhythmic features". Transactions of the International Society for Music Information Retrieval. [en línea]. 2024, vol. 7, no 1, pp. 99-112. DOI: 10.5334/tismir.170 | es |
| dc.identifier.doi | DOI | 10.5334/tismir.170 | - |
| dc.identifier.eissn | e-ISSN | 2514-3298 | - |
| dc.identifier.uri | URI | https://transactions.ismir.net/articles/10.5334/tismir.170 | - |
| dc.identifier.uri | URI | https://hdl.handle.net/20.500.12008/43862 | - |
| dc.language.iso | Idioma | en | es |
| dc.publisher | Editorial | International Society for Music Information Retrieval (ISMIR) | es |
| dc.relation.ispartof | EN | Transactions of the International Society for Music Information Retrieval, vol. 7, no 1, may 2024, pp. 99-112. | es |
| dc.rights | Derechos | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
| dc.rights.licence | Licencia | Licencia Creative Commons Atribución (CC - By 4.0) | es |
| dc.subject | Palabras clave | Beat tracking | es |
| dc.subject | Palabras clave | Selective annotation | es |
| dc.subject | Palabras clave | Rhythmic description | es |
| dc.title | Título | Selective annotation of few data for beat tracking of Latin American music using rhythmic features. | es |
| dc.type | Tipo de documento | Artículo | es |
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| MRBF24.pdf | Versión publicada | 2.95 MB | Adobe PDF |