Abstract
Most researchers in the automatic music emotion recognition
field focus on the two-dimensional valence and arousal
model. This model though does not account for the whole
diversity of emotions expressible through music. Moreover,
in many cases it might be important to model induced
(felt) emotion, rather than perceived emotion. In
this paper we explore a multidimensional emotional space,
the Geneva Emotional Music Scales (GEMS), which addresses
these two issues. We collected the data for our
study using a game with a purpose. We exploit a comprehensive
set of features from several state-of-the-art toolboxes
and propose a new set of harmonically motivated
features. The performance of these feature sets is compared.
Additionally, we use expert human annotations to
explore the dependency between musicologically meaningful
characteristics of music and emotional categories of
GEMS, demonstrating the need for algorithms that can better
approximate human perception
field focus on the two-dimensional valence and arousal
model. This model though does not account for the whole
diversity of emotions expressible through music. Moreover,
in many cases it might be important to model induced
(felt) emotion, rather than perceived emotion. In
this paper we explore a multidimensional emotional space,
the Geneva Emotional Music Scales (GEMS), which addresses
these two issues. We collected the data for our
study using a game with a purpose. We exploit a comprehensive
set of features from several state-of-the-art toolboxes
and propose a new set of harmonically motivated
features. The performance of these feature sets is compared.
Additionally, we use expert human annotations to
explore the dependency between musicologically meaningful
characteristics of music and emotional categories of
GEMS, demonstrating the need for algorithms that can better
approximate human perception
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 15th Conference of the International Society for Music Information Retrieval (ISMIR 2014) |
| Pages | 373-378 |
| Publication status | Published - 2014 |
| Event | International Society for Music Information Retrieval - , Taiwan, Province of China Duration: 27 Oct 2014 → 31 Oct 2014 |
Conference
| Conference | International Society for Music Information Retrieval |
|---|---|
| Country/Territory | Taiwan, Province of China |
| Period | 27/10/14 → 31/10/14 |