Categorisation of polyphonic musical signals by using modularity community detection in audio-associated visibility network
Abstract 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 numeric...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2017-10-01
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| Series: | Applied Network Science |
| Online Access: | http://link.springer.com/article/10.1007/s41109-017-0052-1 |