Artemi - Maria Gioti

University College London | UCL · Department of Anthropology

In this article we address the role of machine learning (ML) in the composition of two new musical works for acoustic instruments and electronics through autoethnographic reflection on the experience. Our study poses the key question of how ML shapes, and is in turn shaped by, the aesthetic commitments characterizing distinctive compositional pract...

This paper describes a subversive compositional approach to machine learning, focused on the exploration of AI bias and computational aesthetic evaluation. In Bias, for bass clarinet and Interactive Music System, a computer music system using two Neural Networks trained to develop "aesthetic bias" interacts with the musician by evaluating the sound...

This article explores the relationship and disparities between human and computational creativity by addressing the following questions: How well are computational creativity systems currently performing at creative tasks? Could computers outperform human composers? And, if not, is computational creativity a utopia? Automatic composition systems ar...

This paper describes an interactive composition for human and robotic percussionist exploring decision-making processes in the context of composed interaction scenarios. The composition is based on a dynamic form, shaped by decisions made by the musician and the robotic percussionist in real-time. Using a Neural Network trained to recognize differe...

Participatory artworks aim at creating an experience that is open to interpretation. We argue that such interpretations should not be just entirely predetermined by the cre-ators' expectations; rather, they should vary among audience members. We also argue that audience members that experienced the artwork could act as co-designers for the successi...

This paper describes a machine-listening based system developed for an interactive composition for soprano saxophone and electronics. The auditory processing stage of the system consists of a feedforward Neural Network trained to perform real-time recognition of different playing techniques (single notes, multiphonics, air tones and slap tones). Th...

This paper is a reflection on our experience of design of an interactive instrument and its evaluation and redesign using a collaborative creativity process. This paper examines the interface from three different perspectives; designer, performer, and expert audience. The designer describes and evaluates the chain of decisions taken to release an e...

This paper is a reflection on our experience of design of an interactive instrument and its evaluation and redesign using a collaborative creativity process. This paper examines the interface from three different perspectives; designer, performer, and expert audience. The designer describes and evaluates the chain of decisions taken to release an e...

This paper explores a variety of existing interactive and participatory sound systems and the role of different actors in them. In human computer interaction (HCI), the focal point on studying interactive systems has been the usability and functionality of the systems. We are trying to shift the focus more towards creative aspects of interaction in...