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Classical Music Clustering Based on Acoustic Features
June 27, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Xindi Wang, Syed Arefinul Haque
arXiv ID
1706.08928
Category
cs.IR: Information Retrieval
Cross-listed
cs.LG,
cs.SD
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this paper we cluster 330 classical music pieces collected from MusicNet database based on their musical note sequence. We use shingling and chord trajectory matrices to create signature for each music piece and performed spectral clustering to find the clusters. Based on different resolution, the output clusters distinctively indicate composition from different classical music era and different composing style of the musicians.
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