Discovery Early Career Researcher Award - Grant ID: DE220100961
Funder
Australian Research Council
Funding Amount
$456,000.00
Summary
The Musical Escape: Investigating Music and Imagination. Imagination plays a pivotal role in creativity as well as self-regulation. Yet, despite its important role throughout cognition, imagination is still ill-understood as it is notoriously difficult to systematically induce and measure. This project aims to deepen our understanding of imagination by using an innovative approach that combines quantitative, qualitative, and neuroscientific methodologies. It leverages the facts that music can re ....The Musical Escape: Investigating Music and Imagination. Imagination plays a pivotal role in creativity as well as self-regulation. Yet, despite its important role throughout cognition, imagination is still ill-understood as it is notoriously difficult to systematically induce and measure. This project aims to deepen our understanding of imagination by using an innovative approach that combines quantitative, qualitative, and neuroscientific methodologies. It leverages the facts that music can reliably induce imagination and that imagined orientation in time and space can be measured. Expected outcomes include free algorithmic tools capable of generating music that induce user-specified imagination to the benefit of informing the foundations of creativity and the phenomenology of imagination.Read moreRead less
Music can speak for you: making music with a deep net partner. This project aims to develop and evaluate a novel computational partner to aid composers and non-musicians to make personal music. One computational component learns to output musical structures that another component moulds towards user-desired features while encouraging innovation and exploration. Listeners’ evaluation of the musical outputs in terms of affect will be analysed, potentially allowing us to extend current music genera ....Music can speak for you: making music with a deep net partner. This project aims to develop and evaluate a novel computational partner to aid composers and non-musicians to make personal music. One computational component learns to output musical structures that another component moulds towards user-desired features while encouraging innovation and exploration. Listeners’ evaluation of the musical outputs in terms of affect will be analysed, potentially allowing us to extend current music generation software considerably. The expected outcomes will be a tool for musicians, but also for untrained people, young and older, allowing such untrained people to make personalized music. The tool can thus provide benefits to the creative arts, and to the educational and wellbeing support sectors.Read moreRead less