6533b82efe1ef96bd1292669

RESEARCH PRODUCT

Visualization in comparative music research

Petri ToiviainenTuomas Eerola

subject

SubjectivityInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)Computer sciencebusiness.industryFeature extractionRepresentation (systemics)Small sampleMusicalcomputer.software_genreVisualizationComputational musicologyArtificial intelligencebusinesscomputerNatural language processingDigital audio

description

Computational analysis of large musical corpora provides an approach that overcomes some of the limitations of manual analysis related to small sample sizes and subjectivity. The present paper aims to provide an overview of the computational approach to music research. It discusses the issues of music representation, musical feature extraction, digital music collections, and data mining techniques. Moreover, it provides examples of visualization of large musical collections.

https://doi.org/10.1007/978-3-7908-1709-6_16