Dance to your own drum: Identification of musical genre and individual dancer from motion capture using machine learning

6533b862fe1ef96bd12c6180

RESEARCH PRODUCT

Dance to your own drum: Identification of musical genre and individual dancer from motion capture using machine learning

Pasi Saari Birgitta Burger Petri Toiviainen Emily Ecarlson

subject

Audio signal Visual Arts and Performing Arts Dance InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)Computer science business.industry 05 social sciences ComputingMilieux_PERSONALCOMPUTING 06 humanities and the arts Drum Musical Machine learning computer.software_genre Motion capture 050105 experimental psychology 060404 music Identification (information)Embodied cognition 0501 psychology and cognitive sciences Artificial intelligence business computer 0604 arts Music

description

Machine learning has been used to accurately classify musical genre using features derived from audio signals. Musical genre, as well as lower-level audio features of music, have also been shown to...

year	journal	country	edition	language
2020-01-13	Journal of New Music Research

https://doi.org/10.1080/09298215.2020.1711778

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