HIGH-M
Welcome to the Online-Presence of the HIGH-M Project (Human Interaction assessment and Generative segmentation in Health and Music)!
Located at the Institute of Applied Sciences (IFAS) of the Technical University of Applied Sciences Würzburg-Schweinfurt (THWS), we develop an automated tool to analyse autonomy - understood as types of social interaction in line with Kenneth E. Bruscia - of clinical improvisations. To do so, several theories for the analysis of musical improvisations and interaction are being synthesised, formalised, and automated. This tool is being developed for the analysis of clinical improvisations of people with diagnosed depressive disorder.
In development, we have set two aims for the tool. On the one hand, it is supposed to analyse specific dynamics of clinical and musical improvisations. On the other hand, it is also designed as a diagnostic tool in music therapy to analyse and recognise specifics of depressive musical interaction in clinical improvisations.
In our research project, we are being supported by several national and international partners who contribute besides the main data set their expertise in computational analysis, music information retrieval as well as cognitive and music therapeutic background. Furthermore, the THWS is a founding member of the International Music Therapy Assessment Consortium (IMTAC) and contributes to this via HIGH-M.
On the following pages, you can learn more about the structure, the state of our study, our partners, and our publications so far.
For further questions or information feel free to contact us.
Current Issues
07/07/2026 World Congress of Music Therapy (WCMT2026) in Bologna, Italy
The HIGH-M team participated in the World Congress of Music Therapy (WCMT 2026), contributing to both the Assessment Pre-Conference and the main scientific program.
As part of the Assessment Pre-Conference, we delivered a workshop introducing CAMII (Computational Assessment of Musical Interaction in Clinical Improvisation) and later presented the underlying research in a paper presentation. CAMII automatically analyzes different types of intermusical interaction from MIDI recordings, supporting computational approaches to the study of clinical improvisation.
A particular milestone was the official launch of CAMII during the congress. The tool is now available as both a GitHub repository and a standalone Windows application, making computational analyses of musical interaction more accessible to researchers.
Beyond presenting our own work, the congress provided an excellent opportunity to learn about current developments in music therapy research and to exchange ideas with researchers and practitioners from around the world. We would like to thank the organizers for an inspiring event and look forward to incorporating these insights into our future research.
Our Partners
