Info

The cooperative project KISS [Eng. Artificial Intelligence Service and Systems], conducted at the University of Music Trossingen and Furtwangen University, organises the second and concluding edition of the "AI in Music" symposium series, which will focus on facilitating an open discussion between stakeholders from academia, practitioners and the music industry.

The goal of our event is to give stakeholders working in different thematic and geographical areas the opportunity to share their experiences on the subject in an open discussion and to identify individual and common perspectives. We are therefore delighted to invite interested parties to participate in a workshop offered by our partner institution, Furtwangen University, as well as in an open discussion panel featuring perspectives from researchers and industry representatives. Additionally, the team is thrilled to have secured the participation of Prof. Alexander Lerch (Georgia Institute of Technology, USA), who will provide the event's keynote presentation.

We welcome to the discussions everyone interested in the topic of AI in music, including those beyond academic fields and/or working on economically focused projects, as well as persons directly or indirectly affected by this emerging technology. Each of the formats featured in the symposium is intended to enable an exchange between presenters and audience, and we encourage everyone to bring their own perspectives, experiences and challenges.

The event will be held in English to encourage the inclusion of perspectives from the wider, international audience.

Keynote

"Beyond the Hype & Panic: An Engineer’s Perspective on Threats and Opportunities of Artificial Intelligence and Music"

by

Prof. Alexander Lerch (Georgia Institute of Technology, USA)

Abstract:

Data-driven machine learning models are nowadays impacting all stakeholders in the chain of musical communication from content creators, performers, producers and sound engineers, labels and distributors, to the consumers; these machine learning models can be (i) generating or hallucinating new outputs, (ii) processing, separating, or morphing a musical audio input, (iii) extracting information about musical style and characteristics, instrumentation, emotional content, etc., or (iv) recommending pieces of music based on meta-data, user behavior, and musical information.

This talk will discuss threats and opportunities that come with the increasing utilization of artificially intelligent technology in the music industry focusing on creative practice, music consumption, and infringement and plagiarism.

Program

Schedule is based on the CET (UTC+01:00) time zone.

We are looking forward to many exciting discussions!

The organizing committee,

Aleksandar Golovin (Organisation and Management)

Joachim Goßmann (Thematic focus)

Norman Müller (Event concept and planning)

Roland Sproll (Design of Digital Media)

This symposium is organised by the University of Music Trossingen's members of the KISS project, a cooperative project developed and conducted together with Furtwangen University. The project Künstliche Intelligenz Service und Systeme (KISS) is sponsored by the Federal Ministry of Education and Research.

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