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</script>This dataset contains a music collection of 72 sung excerpts representative of three a cappella singing styles (Deblas, two variants of Martinete). The distribution is as follows: 16 Deblas 36 Martinete 1 20 Martinete 2 This collection was built in the context of a study on similarity and style classification of flamenco a cappella singing styles (Tonas) by the flamenco expert Dr. Joaquin Mora, Universidad de Sevilla. We refer to (Mora et al. 2010) for a comprehensive description of the considered styles and their musical characteristics. All 72 excerpts are monophonic, their average duration is 30 seconds and there is enough variability for a proper evaluation of our methods, including a variety of singers, recording conditions, presence of percussion, clapping, background voices and noise. We also provide manual melodic transcriptions, generated by the COFLA team and Cristina López Gómez. Using this dataset When TONAS is used for academic research, we would highly appreciate if scientific publications of works partly based on the TONAS dataset quote the following publication: Music material Mora, J., Gomez, F., Gomez, E., Escobar-Borrego, F.J., Diaz-Banez, J.M. (2010). Melodic Characterization and Similarity in A Cappella Flamenco Cantes. 11th International Society for Music Information Retrieval Conference (ISMIR 2010). Transcriptions Gomez, E., Bonada, J. (in Press). Towards Computer-Assisted Flamenco Transcription: An Experimental Comparison of Automatic Transcription Algorithms As Applied to A Cappella Singing. Computer Music Journal. We are interested in knowing if you find our datasets useful! If you use our dataset please email us at mtg-info@upf.edu and tell us about your research. https://www.upf.edu/web/mtg/tonas
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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