Music as Medicine: music-based approaches to Health and Wellbeing
Our research explores how engaging with music can offer innovative care pathways, providing support for individuals coping with various health conditions. We investigate how music can complement traditional medical interventions, enhancing treatment outcomes and improving quality of life. Whether it's reducing pain, enhancing physical recovery, managing stress, or boosting mental health, our studies aim to uncover the therapeutic potential of music and create the conditions for everyone to benefit from them. We are also interested in community-based initiatives that leverage music for wellbeing. We aim to empower individuals to take charge of their health and connect with others. Our research ultimately seeks to demonstrate the transformative impact of music on health and wellbeing. By understanding the mechanisms at play and developing evidence-based strategies, we hope to pave the way for a more person-centred approach to healthcare where music plays a key role.
more than just entertainment
We're delving into the fascinating world of music and its profound impact on our daily lives. Our research aims to uncover the intricate ways in which music influences our emotions, thoughts and behaviours in everyday life situations. We explore how music can be used to enhance our experiences, from boosting our mood and reducing stress to improving cognitive function and fostering social connections. By understanding the underlying mechanisms, we strive to develop practical strategies to help individuals harness the positive power of music. Additionally, we're committed to addressing the potential negative consequences associated with music use. Whether it's about music triggering dangerous driving or affecting concentration levels, our research seeks to identify and mitigate these issues. Our goal is to create a more informed and balanced approach to music consumption, ensuring that its benefits are maximised while its drawbacks are minimised.
AI FOR MUSICAL UNDERSTANDING, PERSONALISATION, AND CREATION
Our research harnesses the power of AI to deepen our understanding of music and enhance the ways we interact with it. We focus on developing intelligent systems that can automatically analyse music to unlock new possibilities in music perception and creativity. Through Music Information Retrieval (MIR), we create machine learning models capable of recognising musical segments, identifying emotional cues, detecting similarities, and more. We also explore the future of personalised music experiences, using human-centred AI to tailor music recommendations based on individual preferences, moods, activities, and goals, allowing users to interact with music in more meaningful ways. By blending cutting-edge AI techniques with a deep appreciation for the human connection to music, we strive to push the boundaries of music analysis, personalisation, and generation.
information retrieval
Unlocking the secrets hidden within music. Our research in MIR specialises in machine learning models that analyse audio and symbolic music to detect segment and patterns, predict expressed and induced emotions, identify similarity and extract stylistic features.
Music personalisation
Personalised and engaging music experiences. We explore how users can naturally search, navigate, and generate playlists based on their individual preferences, moods, and activities.