'Salsa', a Dataset for Beat Estimation in Salsa Music
This paper introduces a dataset of salsa music, a genre deeply rooted in Latin American culture that is known for its intricate yet captivating rhythms, which pose challenges even for seasoned dancers. Our work involved creating a comprehensive track selection and meticulously annotating beat occurr...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2024-12-01
|
| Series: | Transactions of the International Society for Music Information Retrieval |
| Subjects: | |
| Online Access: | https://account.transactions.ismir.net/index.php/up-j-tismir/article/view/183 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841554847637176320 |
|---|---|
| author | Daniel Gómez-Marín Rafael Ospina-Caicedo Javier Díaz-Cely Jesús Paz Sergi Jordà Perfecto Herrera |
| author_facet | Daniel Gómez-Marín Rafael Ospina-Caicedo Javier Díaz-Cely Jesús Paz Sergi Jordà Perfecto Herrera |
| author_sort | Daniel Gómez-Marín |
| collection | DOAJ |
| description | This paper introduces a dataset of salsa music, a genre deeply rooted in Latin American culture that is known for its intricate yet captivating rhythms, which pose challenges even for seasoned dancers. Our work involved creating a comprehensive track selection and meticulously annotating beat occurrences. The dataset comprises 124 expert-analyzed salsa songs, offering a rich resource for further beat estimation and related studies within the salsa music domain. We detail the dataset, outline the methodology carried out for compiling and validating beat annotations, and finally test two contemporary beat prediction models on the dataset. Our contributions include the establishment of a labeled dataset for beat estimation research in salsa music and a robust methodology for identifying beat occurrences. Through this work, we aspire to enrich contemporary and future studies on Latin American culture, particularly the integral aspect of salsa music, fostering rhythm analysis and other musical properties that can derive from it. |
| format | Article |
| id | doaj-art-2570cc56c2094e7d8dc46aca5b0702c5 |
| institution | Kabale University |
| issn | 2514-3298 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Transactions of the International Society for Music Information Retrieval |
| spelling | doaj-art-2570cc56c2094e7d8dc46aca5b0702c52025-01-08T08:41:56ZengUbiquity PressTransactions of the International Society for Music Information Retrieval2514-32982024-12-0171264–273264–27310.5334/tismir.183183'Salsa', a Dataset for Beat Estimation in Salsa MusicDaniel Gómez-Marín0Rafael Ospina-Caicedo1Javier Díaz-Cely2Jesús Paz3Sergi Jordà4Perfecto Herrera5Facultad de Ingeniería, Diseño y Ciencias Aplicadas, Universidad Icesi, Cali, Colombia; Music Technology Group (MTG), Universitat Pompeu Fabra, BarcelonaFacultad de Ingeniería, Diseño y Ciencias Aplicadas, Universidad Icesi, CaliFacultad de Ingeniería, Diseño y Ciencias Aplicadas, Universidad Icesi, Cali; Atinna, CaliFacultad de Ingeniería, Diseño y Ciencias Aplicadas, Universidad Icesi, CaliMusic Technology Group (MTG), Universitat Pompeu Fabra, BarcelonaMusic Technology Group (MTG), Universitat Pompeu Fabra, BarcelonaThis paper introduces a dataset of salsa music, a genre deeply rooted in Latin American culture that is known for its intricate yet captivating rhythms, which pose challenges even for seasoned dancers. Our work involved creating a comprehensive track selection and meticulously annotating beat occurrences. The dataset comprises 124 expert-analyzed salsa songs, offering a rich resource for further beat estimation and related studies within the salsa music domain. We detail the dataset, outline the methodology carried out for compiling and validating beat annotations, and finally test two contemporary beat prediction models on the dataset. Our contributions include the establishment of a labeled dataset for beat estimation research in salsa music and a robust methodology for identifying beat occurrences. Through this work, we aspire to enrich contemporary and future studies on Latin American culture, particularly the integral aspect of salsa music, fostering rhythm analysis and other musical properties that can derive from it.https://account.transactions.ismir.net/index.php/up-j-tismir/article/view/183salsa musicbeat estimationrhythmdatasetlatin america |
| spellingShingle | Daniel Gómez-Marín Rafael Ospina-Caicedo Javier Díaz-Cely Jesús Paz Sergi Jordà Perfecto Herrera 'Salsa', a Dataset for Beat Estimation in Salsa Music Transactions of the International Society for Music Information Retrieval salsa music beat estimation rhythm dataset latin america |
| title | 'Salsa', a Dataset for Beat Estimation in Salsa Music |
| title_full | 'Salsa', a Dataset for Beat Estimation in Salsa Music |
| title_fullStr | 'Salsa', a Dataset for Beat Estimation in Salsa Music |
| title_full_unstemmed | 'Salsa', a Dataset for Beat Estimation in Salsa Music |
| title_short | 'Salsa', a Dataset for Beat Estimation in Salsa Music |
| title_sort | salsa a dataset for beat estimation in salsa music |
| topic | salsa music beat estimation rhythm dataset latin america |
| url | https://account.transactions.ismir.net/index.php/up-j-tismir/article/view/183 |
| work_keys_str_mv | AT danielgomezmarin salsaadatasetforbeatestimationinsalsamusic AT rafaelospinacaicedo salsaadatasetforbeatestimationinsalsamusic AT javierdiazcely salsaadatasetforbeatestimationinsalsamusic AT jesuspaz salsaadatasetforbeatestimationinsalsamusic AT sergijorda salsaadatasetforbeatestimationinsalsamusic AT perfectoherrera salsaadatasetforbeatestimationinsalsamusic |