Mood is an important attribute of music, and knowledge on mood can be used as a basic ingredient in music recommender and retrieval systems. Moods are assumed to be dominantly determined by two dimensions: valence and arousal. An experiment was conducted to attain data for song-based ratings of valence and arousal. It is shown that subject-averaged valence and arousal can be predicted from music features by a linear model.

Authors: den Brinker, Albertus; van Dinther, Ralph; Skowronek, J.
Affiliations: Philips Research Laboratories Eindhoven; Technical University Berlin(See document for exact affiliation information.)
AES Convention: 131 (October 2011) eBrief:39
Publication Date: October 20, 2011 Import into BibTeX
Subject: Perception
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=16595

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