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
06/03/2026 Transformationraum AI, Kloster Speinshart
The HIGH-M project recently had the opportunity to present the talk “Wie klingt Depression? Zur KI-gestützten Analyse musikalischer Interaktion in musiktherapeutischen Improvisationen” at the Transformationsraum AI workshop organised by the Universität Augsburg.
The event took place at the Bayerisches Wissenschaftszentrum für KI und SuperTech at Kloster Speinshart and brought together interdisciplinary scholars exploring artificial intelligence from a wide range of perspectives. We greatly appreciated the opportunity to engage in discussions and attend the final presentations of the participants’ work.
We particularly valued the thoughtful exchanges on the sensitivity required when applying AI in creative processes such as musical improvisation, as well as in therapeutic contexts.
We thank all participants and organisers for the inspiring and enriching exchange!
Our Partners
