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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2017
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| Materias: | |
| 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 |