Automatic music classification has been of interest since digital data about music became available within the Web. For this task, different automatic classification approaches have been proposed but all existing approaches are based on the analysis of sounds. To the best of our knowledge, there is no automatic solution that considers only the sheet music for classification. Therefore, within the following study, we introduce a machine-learning based approach in order to assign an author to new sheet music. Different features, that best represent the style of a writer has been extracted, and are given in input for training to a kNN algorithm. In addition, the article discusses the results and cases when the classifier fails to assign the right author.

De Pasquale, G., Spahiu, B., Ducange, P., Maurino, A. (2020). Towards Automatic Classification of Sheet Music. In Proceedings of the 28th Italian Symposium on Advanced Database Systems. Villasimius, Sud Sardegna, Italy (virtual due to Covid-19 pandemic), June 21-24, 2020 (pp.266-277). Aachen : CEUR-WS.

Towards Automatic Classification of Sheet Music

Spahiu, B
Membro del Collaboration Group
;
Maurino, A
Membro del Collaboration Group
2020

Abstract

Automatic music classification has been of interest since digital data about music became available within the Web. For this task, different automatic classification approaches have been proposed but all existing approaches are based on the analysis of sounds. To the best of our knowledge, there is no automatic solution that considers only the sheet music for classification. Therefore, within the following study, we introduce a machine-learning based approach in order to assign an author to new sheet music. Different features, that best represent the style of a writer has been extracted, and are given in input for training to a kNN algorithm. In addition, the article discusses the results and cases when the classifier fails to assign the right author.
paper
sheet music classification, machine learning, feature extraction
English
Sistemi Evoluti per Basi di Dati (SEBD) 21-24 June
2020
Agosti, M; Atzori, M; Ciaccia, P; Tanca, L
Proceedings of the 28th Italian Symposium on Advanced Database Systems. Villasimius, Sud Sardegna, Italy (virtual due to Covid-19 pandemic), June 21-24, 2020
2020
2646
266
277
http://ceur-ws.org/Vol-2646/22-paper.pdf
open
De Pasquale, G., Spahiu, B., Ducange, P., Maurino, A. (2020). Towards Automatic Classification of Sheet Music. In Proceedings of the 28th Italian Symposium on Advanced Database Systems. Villasimius, Sud Sardegna, Italy (virtual due to Covid-19 pandemic), June 21-24, 2020 (pp.266-277). Aachen : CEUR-WS.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/287961
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