Abstract
Music is one of the most expressive media to show and manipulate emotions, but
there have been few studies on how to generate music connected to emotions.
Such studies have always been shunned upon by musicians affirming that a machine cannot create expressive music, as it's the composer's and player's experiences and emotions that get poured into the piece. At the same time another problem is that music is highly complicated (and subjective) and finding out which elements transmit certain emotions is not an easy task.
This demo wants to show how the manipulation of a set of features can actually change the mood the music transmits, hopefully awakening an interest in this area of research.
there have been few studies on how to generate music connected to emotions.
Such studies have always been shunned upon by musicians affirming that a machine cannot create expressive music, as it's the composer's and player's experiences and emotions that get poured into the piece. At the same time another problem is that music is highly complicated (and subjective) and finding out which elements transmit certain emotions is not an easy task.
This demo wants to show how the manipulation of a set of features can actually change the mood the music transmits, hopefully awakening an interest in this area of research.
| Original language | English |
|---|---|
| Title of host publication | Advances in Computer Entertainment : 10th International Conference, ACE 2013 Boekelo, The Netherlands, November 2013 Proceedings |
| Editors | Dennis Reidsma |
| Number of pages | 4 |
| Volume | 8253 |
| Publisher | Springer |
| Publication date | 2013 |
| Pages | 626-629 |
| ISBN (Print) | 978-3-319-03160-6 |
| Publication status | Published - 2013 |
| Series | Lecture Notes in Computer Science |
|---|---|
| ISSN | 0302-9743 |
Keywords
- music generation
- affective computing