Categorisation of polyphonic musical signals by using modularity community detection in audio-associated visibility network

This article proposes a method to numerically characterise the homogeneity of polyphonic musical signals through community detection in audio-associated visibility networks and to detect patterns that allow the categorisation of these signals into two types of grouping based on this numerical charac...

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Detalles Bibliográficos
Autores principales: Melo, Dirceu de Freitas Piedade, Fadigas, Inacio de Sousa, de Barros Pereira, Hernane Borges
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214251/
https://www.ncbi.nlm.nih.gov/pubmed/30443586
http://dx.doi.org/10.1007/s41109-017-0052-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214251/
https://www.ncbi.nlm.nih.gov/pubmed/30443586
http://dx.doi.org/10.1007/s41109-017-0052-1

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