Melodic Contour and Mid-Level Global Features Applied to the Analysis of Flamenco Cantes

Bibliographic Data

ID14872153
AuthorsJoaquín Mora (Universidad de Sevilla), Francisco Gómez (0000-0003-4553-5343, Universidad Politécnica de Madrid, corresponding author), Emília Gómez (0000-0003-4983-3989, Universitat Pompeu Fabra), José Miguel Díaz-Báñez (0000-0002-4031-4309, Universidad de Sevilla)
Year2016
Volume45
Issue2
Pages145-159
Publication date2016-04-02
Open AccessNo
TypeARTICLE
VenueJournal of New Music Research (JOURNAL)
Journal identifiersISSN: 0929-8215 • E-ISSN: 1744-5027
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09298215.2016.1174717
OpenAlexW2268666097
LanguageEN
Citations received3
References cited12

This work focuses on the topic of melodic characterization and similarity in a specific musical repertoire: a cappella flamenco singing, more specifically in debla and martinete styles. We propose the combination of manual and automatic description. First, we use a state-of-the-art automatic transcription method to account for general melodic similarity from music recordings. Second, we define a specific set of representative mid-level melodic features, which are manually labelled by flamenco experts. Both approaches are then contrasted and combined into a global similarity measure. This similarity measure is assessed by inspecting the clusters obtained through phylogenetic algorithms and by relating similarity to categorization in terms of style. Finally, we discuss the advantage of combining automatic and expert annotations as well as the need to include repertoire-specific descriptions for meaningful melodic characterization in traditional music collections

Categorization · Melody · Musical · Natural language processing · Repertoire · Similarity measure · Singing · Speech recognition · Computer Science · Music and Audio Processing · Music Technology and Sound Studies · Neuroscience and Music Perception · Artificial Intelligence

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