"Machine Learning and Jazz Improvisation on Double Bass"

Postgraduate Thesis uoadl:3442971 12 Read counter

Unit:
Κατεύθυνση Jazz μουσική και Αυτοσχεδιασμός με Νέες Τεχνολογίες
Library of the School of Philosophy
Deposit date:
2024-12-05
Year:
2024
Author:
Arsenis Kostas
Supervisors info:
Αναστασία Γεωργάκη, Καθηγήτρια, ΤΜΣ, ΕΚΠΑ
Χριστίνα Αναγνωστοπούλου, Αναπληρώτρια Καθηγήτρια, ΤΜΣ, ΕΚΠΑ
Αρετή Ανδρεοπούλου, Αναπληρώτρια Καθηγήτρια, ΤΜΣ, ΕΚΠΑ
Original Title:
Μηχανική Μάθηση και Τζαζ Αυτοσχεδιασμός στο Κοντραμπάσο
Languages:
Greek
Translated title:
"Machine Learning and Jazz Improvisation on Double Bass"
Summary:
This thesis focuses on the role of Machine Learning (ML) in shaping and enhancing jazz music, with a particular emphasis on improvisation and the accompanying role of the double bass. Through, the use of software such as OMax and sOmax, it explores how algorithms extend traditional improvisational techniques, creating interactive and more vibrant environments that inspire musicians and promote artistic expression. The study also examines the historical evolution of the double bass in jazz, its importance in ensembles, and how modern technology aids in the development of improvisational techniques. The work concludes with proposals for future research and discusses the possibilities that the convergence of technology and jazz brings, offering new opportunities for creative human-machine collaboration.
Main subject category:
Fine arts - Entertainment
Keywords:
Improvisation, jazz, double bass, Machine Learning (ML), OMax software, sOmax, interactive music.
Index:
No
Number of index pages:
0
Contains images:
No
Number of references:
119
Number of pages:
89
File:
File access is restricted only to the intranet of UoA.

Αρσένης Διπλωματική-ΜΗΧΑΝΙΚΗ ΜΑΘΗΣΗ ΚΑΙ ΤΖΑΖ ΑΥΤΟΣΧΕΔΙΑΣΜΟΣ ΣΤΟ ΚΟΝΤΡΑΜΠΑΣΟ.pdf
3 MB
File access is restricted only to the intranet of UoA.