Empirical research on music performance has increased considerably during recent
decades. This article updates the review of the research up to 1995 published by the current …

This contribution gives an overview of the state of the art in the field of computational
modeling of expressive music performance. The notion of predictive computational model is …

Music's ability to express and arouse emotions is a mystery that has fascinated both experts
and laymen at least since ancient Greece. The predecessor to this book'Music and …

A proposal that an embodied cognition approach to music research—drawing on work in
computer science, psychology, brain science, and musicology—offers a promising …

An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …

The development of generative AI has led to novel ways that technology can be integrated
into creative activities. However, this has also raised concerns about how human creators …

Deep learning methods are recognised as state-of-the-art for many applications of machine
learning. Recently, deep learning methods have emerged as a solution to the task of …

The KTH rule system models performance principles used by musicians when performing a
musical score, within the realm of Western classical, jazz and popular music. An overview is …

Creative AI has had and will continue to have immense impact on creative communities and
society more broadly. Along with the great power, these techniques provide and come …

Body movement is integral to both performance and perception of music, and this
dissertation suggests that we also think about music as movement. Based on ideas of …