Assistant Professor / Sorbonne University / Musicology, Computer Music, Digital Pedagogy, Electroacoustic music studies, Musical Improvisation
Title of Paper:
AI in Electroacoustic Music Research
Subdisciplinary Area: Research-creation, Digital musicology, electroacoustic music studies, musical improvisation
Keywords: electroacoustic music, musical analysis, MIR, graphical representation
Abstract: The electroacoustic music is composed or performed by using analog or digital machines to create or transform the sound. Performances are made with digital musical instruments (DMI) and loudspeaker orchestras which can be mixed with acoustic musical instruments. The sound material has no limits, it can take the form of audio recordings of musical sounds, noises or be the result of complex sound synthesis or transformations with sound effects. For the musician as well as for the listener or musicologist, the unheard of, the informal, the atemporal are what often characterizes the musical experience. How to apply AI techniques based on a statistical treatment of meticulously labeled elements to music that escapes classification, whose sound material is difficult to analyze or which fails to be memorized due to ephemeral and changing structures? This presentation will question the contribution of AI in the study of electroacoustic music by drawing links between AI and musical analysis techniques based on morphological and systemic approaches.