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
17/09/2025 HIGH-M Symposium
On Wednesday, September 17, the HIGH-M Symposium took place in hybrid format, bringing together participants from twelve different countries.
The focus of the event was the research project HIGH-M, which operates at the intersection of music therapy, music research, and systematic musicology. The project aims to develop and validate a computational system for analyzing musical interaction in clinical improvisation. This system is designed to provide a time-efficient tool to support music therapy assessment, with particular relevance to affective disorders such as depression.
Throughout the half-day program, a wide range of research topics was presented. These included music information retrieval and metric-rhythmic analysis, the use of multimodal datasets, approaches to the digital assessment of music therapy improvisations, and the theoretical foundations of integrative improvisational music therapy. A particular focus was placed on the development and evaluation of the CAMII tool, designed for the automatic assessment of clinical improvisations in depression.
In addition to these scientific insights, the symposium was characterized by engaged discussions and interdisciplinary exchange, which provided valuable impulses for the further development of the HIGH-M project and beyond.
We extend our sincere thanks to all participants for their interest, contributions, and inspiring conversations.
Our Partners
