@Article{          kroher.ea2016-corpus,
    author       = {Kroher, Nadine and D{\'{i}}az-B{\'{a}}{\~{n}}ez,
                   Jos{\'{e}}-Miguel and Mora, Joaquin and G{\'{o}}mez, Emilia},
    year         = {2016},
    title        = {Corpus COFLA: A Research Corpus for the Computational
                   Study of Flamenco Music},
    abstract     = {Flamenco is a music tradition from Southern Spain that
                   attracts a growing community of enthusiasts around the
                   world. Its unique melodic and rhythmic elements, the
                   typically spontaneous and improvised interpretation, and
                   its diversity regarding styles make this still largely
                   undocumented art form a particularly interesting material
                   for musicological studies. In prior works, it has already
                   been demonstrated that research on computational analysis
                   of flamenco music, despite it being a relatively new
                   field, can provide powerful tools for the discovery and
                   diffusion of this genre. In this article, we present
                   corpusCOFLA, a data framework for the development of such
                   computational tools. The proposed collection of audio
                   recordings and metadata serves as a pool for creating
                   annotated subsets that can be used in development and
                   evaluation of algorithms for specific music information
                   retrieval tasks. First, we describe the design criteria
                   for the corpus creation and then provide various examples
                   of subsets drawn from the corpus. We showcase possible
                   research applications in the context of computational
                   study of flamenco music and give perspectives regarding
                   further development of the corpus.},
    archiveprefix= {arXiv},
    arxivid      = {1510.04029},
    doi          = {10.1145/2875428},
    eprint       = {1510.04029},
    issn         = {1556-4673},
    journal      = {Journal on Computing and Cultural Heritage},
    keywords     = {Computational ethnomusicology,Flamenco,Research
                   corpus,computational musicology},
    mendeley-tags= {computational musicology},
    month        = {may},
    number       = {2},
    pages        = {1--21},
    url          = {https://dl.acm.org/doi/10.1145/2875428},
    volume       = {9}
}

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Its unique melodic and rhythmic elements, the typically spontaneous and improvised interpretation, and its diversity regarding styles make this still largely undocumented art form a particularly interesting material for musicological studies. In prior works, it has already been demonstrated that research on computational analysis of flamenco music, despite it being a relatively new field, can provide powerful tools for the discovery and diffusion of this genre. In this article, we present corpusCOFLA, a data framework for the development of such computational tools. The proposed collection of audio recordings and metadata serves as a pool for creating annotated subsets that can be used in development and evaluation of algorithms for specific music information retrieval tasks. First, we describe the design criteria for the corpus creation and then provide various examples of subsets drawn from the corpus. We showcase possible research applications in the context of computational study of flamenco music and give perspectives regarding further development of the corpus.","archiveprefix":"arXiv","arxivid":"1510.04029","doi":"10.1145/2875428","eprint":"1510.04029","issn":"1556-4673","journal":"Journal on Computing and Cultural Heritage","keywords":"Computational ethnomusicology,Flamenco,Research corpus,computational musicology","mendeley-tags":"computational musicology","month":"may","number":"2","pages":"1–21","url":"https://dl.acm.org/doi/10.1145/2875428","volume":"9","bibtex":"@Article{ kroher.ea2016-corpus,\n author = {Kroher, Nadine and D{\\'{i}}az-B{\\'{a}}{\\~{n}}ez,\n Jos{\\'{e}}-Miguel and Mora, Joaquin and G{\\'{o}}mez, Emilia},\n year = {2016},\n title = {Corpus COFLA: A Research Corpus for the Computational\n Study of Flamenco Music},\n abstract = {Flamenco is a music tradition from Southern Spain that\n attracts a growing community of enthusiasts around the\n world. Its unique melodic and rhythmic elements, the\n typically spontaneous and improvised interpretation, and\n its diversity regarding styles make this still largely\n undocumented art form a particularly interesting material\n for musicological studies. In prior works, it has already\n been demonstrated that research on computational analysis\n of flamenco music, despite it being a relatively new\n field, can provide powerful tools for the discovery and\n diffusion of this genre. In this article, we present\n corpusCOFLA, a data framework for the development of such\n computational tools. The proposed collection of audio\n recordings and metadata serves as a pool for creating\n annotated subsets that can be used in development and\n evaluation of algorithms for specific music information\n retrieval tasks. First, we describe the design criteria\n for the corpus creation and then provide various examples\n of subsets drawn from the corpus. We showcase possible\n research applications in the context of computational\n study of flamenco music and give perspectives regarding\n further development of the corpus.},\n archiveprefix= {arXiv},\n arxivid = {1510.04029},\n doi = {10.1145/2875428},\n eprint = {1510.04029},\n issn = {1556-4673},\n journal = {Journal on Computing and Cultural Heritage},\n keywords = {Computational ethnomusicology,Flamenco,Research\n corpus,computational musicology},\n mendeley-tags= {computational musicology},\n month = {may},\n number = {2},\n pages = {1--21},\n url = {https://dl.acm.org/doi/10.1145/2875428},\n volume = {9}\n}\n\n","author_short":["Kroher, N.","Díaz-Báñez, J.","Mora, J.","Gómez, E."],"key":"kroher.ea2016-corpus","id":"kroher.ea2016-corpus","bibbaseid":"kroher-diazbez-mora-gmez-corpuscoflaaresearchcorpusforthecomputationalstudyofflamencomusic-2016","role":"author","urls":{"Paper":"https://dl.acm.org/doi/10.1145/2875428"},"keyword":["Computational ethnomusicology","Flamenco","Research corpus","computational musicology"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"https://hmb.sampaio.me/bibliografia.bib.txt","creationDate":"2020-10-09T14:50:13.801Z","downloads":0,"keywords":["computational ethnomusicology","flamenco","research corpus","computational musicology"],"search_terms":["corpus","cofla","research","corpus","computational","study","flamenco","music","kroher","díaz-báñez","mora","gómez"],"title":"Corpus COFLA: A Research Corpus for the Computational Study of Flamenco Music","year":2016,"dataSources":["n6MFY2CscQLDpJ7nT","RFLDZw5KyJdadDXDm"]}