We introduce five regression models for the modeling of expressed emotion in music using data obtained in a two alternative forced choice listening experiment. The predictive performance of the proposed models is compared using learning curves, showing that all models converge to produce a similar classification error. The predictive ranking of the models is compared using Kendall's tau rank correlation coefficient which shows a difference despite similar classification error. The variation in predictions across subjects and the difference in ranking is investigated visually in the arousal-valence space and quantified using Kendall's tau.
|Title of host publication||Proceedings of the 9th Sound and Music Computing Conference|
|Publication status||Published - 2012|
|Event||9th Sound and Music Computing Conference (SMC 2012) - Aalborg University Copenhagen, Copenhagen, Denmark|
Duration: 11 Jul 2012 → 14 Jul 2012
|Conference||9th Sound and Music Computing Conference (SMC 2012)|
|Location||Aalborg University Copenhagen|
|Period||11/07/2012 → 14/07/2012|