Richard Vogl, Music.AI/Moises, Vienna

As artificial intelligence slowly but surely infiltrates music, musicians, producers, labels, and listeners alike are feeling its impact. The music industry seems to be reliving an old trauma from the early 2000s, when technology appeared to be on the verge of destroying the labels’ revenue streams and left them struggling to adapt. Are machines about to replace musicians? Will creativity itself become automated? Or can AI instead be a tool to help and inspire artists and further democratize music creation?

This talk will explore AI tools that create new possibilities for music creation: from tools that separate vocals from instruments and extract information from music, to systems that can generate entire songs. Alongside these demonstrations, we will revisit the industry’s past trauma and ask what lessons it holds for the present moment.

The lecture invites the audience to reflect on how technology reshapes art and how artists can harness, rather than fear, the new machines.

Richard Vogl’s work is situated at the intersection of music and artificial intelligence. He holds a PhD in computer science with focus on machine learning from Johannes Kepler University, Linz. With more than ten years of experience in research, he has worked with Gerhard Widmer at the Institute of Computational Perception at JKU Linz and at the Faculty of Informatics at TU Wien with Peter Knees. His teaching experience includes lectures at TU Wien (Intelligent Audio and Music Analysis) and FH St. Pölten (Artificial Intelligence for Music Applications).

Currently working as a freelance researcher and engineer, he applies his expertise in machine learning and music technology to industry projects. His main research interests include generative methods for audio, music information retrieval, and applied deep learning.

In English

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In cooperation with: Univ.-Prof. Dr. Roland Kwitt, Computer Vision and Machine Learning, Department Artificial Intelligence and Human Interfaces (AIHI), University of Salzburg

Idee, Konzeption und Organisation
Christine Bauer (Professorin für Interactive Intelligent Systems am Fachbereich Artificial Intelligence and Human Interfaces (AIHI), Leiterin PB InterMediation | Universität Salzburg)
Katarzyna Grebosz-Haring (Systematische Musikwissenschafterin | PB InterMediation, Interuniversitäre Einrichtung Wissenschaft und Kunst | Universität Mozarteum Salzburg)
Martin Losert (Instrumentalpädagoge, Leiter Department Musikpädagogik, Leiter PB InterMediation | Universität Mozarteum Salzburg)

Die öffentlichen Vorträge werden durch begleitende Termine für Studierende ergänzt (Anmeldung siehe Plus- bzw. Moz-Online LV-Nr. 901.955).