Sound and Music Interaction Seminar Series
Lecturer: Artemi-Maria Gioti
Abstract
In this talk I will present some of my recent interactive works, involving mutual real-time adaptation between human musicians and interactive computer music systems. The latter use machine learning to interpret auditory information in real-time, and act both in response to the musicians’ actions and as a result of autonomous generative processes. This compositional approach is rooted in a distributed notion of creativity that encompasses both human (composer and performers) and non-human actors (computer music system) and is manifested in the high degree of interpretative freedom and machine autonomy involved in these works. In addition to compositional challenges relating to this approach, I will discuss its aesthetic and conceptual implications, as well as the potential of machine learning as a creative ideation tool, i.e., its potential to shape musical thinking, by opening up new technical and conceptual possibilities.
BioArtemi-Maria Gioti is a composer and artistic researcher working in the fields of artificial intelligence, interactive and participatory sound art. Her research explores the transformative potential of new technologies for musical thinking and seeks to redefine notions of authorship, performership and the construct of the musical work. She studied Composition, Electroacoustic Composition and Computer Music at the University of Macedonia (Greece), the University of Music and Performing Arts Vienna and the University of Music and Performing Arts Graz. She holds a doctoral degree in Music Composition from the University of Music and Performing Arts Graz. Between 2018 and 2022 she worked as a researcher and lecturer at the Institute of Electronic Music and Acoustics (IEM) in Graz. She is currently working as a lecturer at the Hybrid Music Lab of the University of Music "Carl Maria von Weber" Dresden.
Website: artemigioti.com