On the Complexity Analysis and Visualization of Musical Information

• Type: Article in International Scientific Journal
• Date: 2019

Authors

António Mendes Lopes (Author) FEUP; J. A. Tenreiro Machado (Author) Other

Journal

Title: Entropy

Vol. 21 No. 7

Pages: 1-18

ISSN: 1099-4300

Publisher: MDPI

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 2 Citations

Other information

Authenticus ID: P-00Q-V8S

DOI: 10.3390/e21070669

Abstract (EN): This paper considers several distinct mathematical and computational tools, namely complexity, dimensionality-reduction, clustering, and visualization techniques, for characterizing music. Digital representations of musical works of four artists are analyzed by means of distinct indices and visualized using the multidimensional scaling technique. The results are then correlated with the artists' musical production. The patterns found in the data demonstrate the effectiveness of the approach for assessing the complexity of musical information.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 18