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PRAIg '16 / +pics

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AERFAI Summer School on Deep Learning

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Alicante July 5-6, 2017

10th international workshop on Machine Learning and Music

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Barcelona: 16th October 2017

Publications:

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  1. Ponce de León, Pedro J.; Iñesta, José M.
    "Statistical description models for melody analysis and characterization"
    Proceedings of the 2004 International Computer Music Conference, pp. 149-156, University of Miami (2004)
    : bibtex : pdf
    Abstract:

    The analysis of melodies symbolically represented as digital scores (standard MIDI files) is studied. A number of melodic, harmonic, and rhythmic statistical descriptors are computed. Their representation ability is analyzed using the principal components technique (PCA). Also their ability to separate two particular musical styles, like jazz and classical, is analyzed using a per-feature separability test. A qualitative discussion on such a description model based on these results is included.

@inproceedings {
 author = "Ponce de León, Pedro J.; Iñesta, José M.",
 title  = "Statistical description models for melody analysis and characterization",
 address = "University of Miami",
 booktitle = "Proceedings of the 2004 International Computer Music Conference",
 month = "November",
 organization = "Phillip and Patricia Frost School of Music",
 pages = "149-156",
 publisher = "International Computer Music Association",
 year = "2004"
}
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