Unit:
Κατεύθυνση Jazz μουσική και Αυτοσχεδιασμός με Νέες ΤεχνολογίεςLibrary of the School of Philosophy
Author:
Smailis Dimitrios
Supervisors info:
Αναστασία Γεωργάκη, Αναπληρώτρια Καθηγήτρια
Δηµήτρης Βασιλάκης, Μουσικός, Διδάσκων στο ΠΜΣ
Original Title:
Artificial Intelligence Music Generators in Real Time Jazz Improvisation: a performer’s view
Translated title:
Artificial Intelligence Music Generators in Real Time Jazz Improvisation: a performer’s view
Summary:
A highly controversial entrance of Artificial Intelligence (AI) music generators in the world of music composition and performance is currently advancing. A fruitful research from Music Information Retrieval, Neural Networks and Deep Learning, among other areas, are shaping this future. Embodied and non-embodied AI systems have stepped into the world of jazz in order to co-create idiomatic music improvisations. But how musical these improvisations are? This dissertation looks at the resulted melodic improvisations produced by OMax, ImproteK and Djazz (OID) AI generators through the lens of the elements of music and it does so from a performer’s point of view. The analysis is based mainly on the evaluation of already published results as well as on a case study I carried out during the completion of this essay which includes performance, listening and evaluation of generated improvisations of OMax. The essay also reflects upon philosophical issues, cognitive foundations of emotion and meaning and provides a comprehensive analysis of the functionality of OID.
Main subject category:
Fine arts - Entertainment
Keywords:
Artificial Intelligence, Music,
