Mood Dependent Music Generator
- Marco Scirea
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
10th International Conference, ACE 2013 Boekelo, The Netherlands, November 2013 ProceedingsOriginal language
EnglishPages from-to (Number of pages)
Pages 626-629 (4 pages)Publication milestones
- Published - 2013
Publication status
Published - 2013
Volume
8253Publisher
Springer, United States, GermanyBook series
- Book series name: Lecture Notes in Computer Science
ISSN: 0302-9743
ISBN (Print)
978-3-319-03160-6Publication IDs
- Scopus: 84893926351
Host publication title
Advances in Computer EntertainmentHost publication editors
- Dennis Reidsma
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.
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