Moody Music Generator: Characterising Control Parameters Using Crowdsourcing.
Research output: Journal Article or Conference Article in Journal › Conference article › Research › peer-review
Rather than directly attempting to validate that our two control param-
eters represent arousal and valence, instead we conduct an open-ended study to crowd-source labels characterising different parts of this two-
dimensional control space. Our aim is to characterise perception of the generator’s expressive space, without constraining listeners’ responses to labels specifically aimed at validating the original arousal/valence moti-
vation. Subjects were asked to listen to clips of generated music over the Internet, and to describe the moods with free-text labels. We find that the arousal parameter does roughly map to perceived arousal, but that the nominal “valence” parameter has strong interaction with the arousal parameter, and produces different effects in different parts of the con-
trol space. We believe that the characterisation methodology described here is general and could be used to map the expressive range of other parameterisable generators.
|Book series||Lecture Notes in Computer Science|
|Publication status||Published - 2015|
|Event||4th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design - Copenhagen, Denmark|
Duration: 8 Apr 2015 → 10 Apr 2015
|Conference||4th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design|
|Period||08/04/2015 → 10/04/2015|