Abstract
The research field of music therapy has witnessed a rising
interest in recent years to develop and employ computational methods to support therapists in their daily practice.
While Music Information Retrieval (MIR) research has
identified the area of health and well-being as a promising
application field for MIR methods to support health professionals, collaborations with experts in this field are as of
today sparse. This paper provides an overview of potential
applications of computational music analysis as developed
in MIR for the field of active music therapy. We elaborate
on the music therapy method of improvisation, with a particular focus on introducing therapeutic concepts that relate
to musical structures. We identify application scenarios for
analysing musical structures in improvisations, introduce
existing analysis methods of therapists, and discuss the potential of MIR methods to support these analyses. Upon
identifying a current gap between high-level concepts of
therapists and low-level features from existing computational methods, the paper concludes further steps towards
developing computational approaches to music analysis for
music therapy in an interdisciplinary collaboration.
interest in recent years to develop and employ computational methods to support therapists in their daily practice.
While Music Information Retrieval (MIR) research has
identified the area of health and well-being as a promising
application field for MIR methods to support health professionals, collaborations with experts in this field are as of
today sparse. This paper provides an overview of potential
applications of computational music analysis as developed
in MIR for the field of active music therapy. We elaborate
on the music therapy method of improvisation, with a particular focus on introducing therapeutic concepts that relate
to musical structures. We identify application scenarios for
analysing musical structures in improvisations, introduce
existing analysis methods of therapists, and discuss the potential of MIR methods to support these analyses. Upon
identifying a current gap between high-level concepts of
therapists and low-level features from existing computational methods, the paper concludes further steps towards
developing computational approaches to music analysis for
music therapy in an interdisciplinary collaboration.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 24th Intternal Society for Music Information Retrieval Conference, Milan, Italy, 2023. |
| Publisher | ISMIR press |
| Pages | 247-256 |
| DOIs | |
| Publication status | Published - 2023 |