Output details
11 - Computer Science and Informatics
Glasgow Caledonian University
Output title
Music emotion classification by audio signal analysis: analysis of self-selected music during game play
Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
Proceedings of the 10th International Conference on Music Perception and Cognition
Volume number
-
Issue number
-
First page of article
581
ISSN of proceedings
-
Year of publication
2008
Number of additional authors
3
Additional information
<20> A full paper in the proceedings of the ICMPC - the foremost international forum for the work of several international societies for the cognitive sciences of music. The paper examines the use of music to enhance user experience/arousal levels during game play and is the first to apply audio analysis algorithms to classify game music in terms of arousal and valence levels. The result is a new model for examining acoustical properties of music against its beneficial effects upon the health and wellbeing of the user during game play.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
