Copy of Music & AI Hackathon | 11-12 April 2019

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About
What to do?
Program

Contest Results

Meet our Classical Music Hack Day 2019 Contest winners! Christian Blakely (left) received the Hackday Prize of 500 EUR for his clever hack of an AI self-learning piano composer application. On the right, we have Louis Busby receiving the Sennheiser Prize for his VR hack on Karajan Music pieces.
A big resounding "Thank You" to everyone who contributed to the Hackathon, you made it an extraordinary event!

Machine Learning is becoming ever more present in the world of Music and Sound Production.
You will find it in sound processing, mixing and mastering, composition tools, sound and speech synthesis, music information retrieval, and recommendation systems.

These smart technologies enter the creative workspace as new artistic possibilities. They come as sound and music applications, plug-ins or new software tools. Projects like Magenta, Wekinator or ml5.js make it relatively easy to integrate machine learning in your own software projects, which makes a great start for a Hackathon.

If you have data collections, if you are full of ideas, if you´re a programmer that wants to collaborate with crazy musicians and sound artist, if you're a developer that wants to get in touch with the community and showcase projects, you're welcome to join us at the 6th Karajan Classical Music Hackathon (which actually is not so classical, anyway).

ABOUT

For the 6th iteration of the Classical Music Hackathon, the Eliette and Herbert von Karajan Institute and FH Salzburg are joining forces in a Music & AI Hackathon as part of the Karajan Music Tech Conference 2019. The hackathon will be hosted at the University of Applied Sciences Salzburg 11-12 April 2019.

ADDRESS
FH Salzburg
Urstein Süd 1
5412 Puch bei Hallein
Austria

What to do?

* On Thursday morning there will be a couple of introduction talks to get started.

* The music tech company Sennheiser will be part of the hackathon and provide some Ambeo headsets plus head tracker and SDK. They offer a prize for the best concept/project in connection with their environment.

* We will have a self-playing Bösendorfer Disklavier 214VC with Yamaha ENSPIRE technology to create music for. The piano will be on display in the lobby of the FH Salzburg.

* We have space where you can hang out and work on your group projects or connect with other developers and/or musicians. We will also provide food and non-alcoholic drinks.

* Our newly installed audiolab workstations are equipped with basic machine learning tools like Tensorflow, Google Magenta, and music software (Cubase, Ableton Live, ...).

* Patrik Lechner, musician and lecturer at our school will provide an informal hands-on introduction workshop for musicians to get familiar with machine learning tools.

* Matthew Mosher, artist and guest professor will help you set up a trainable gesture recognition system linkable to your music, based on the wekinator software package.

* We should have a recording studio set up with Izotope RX 7 advanced, by the time the hackathon starts. This is a plug-in that allows you post production based on machine learning algorithms.

* And of course we encourage additional topics - bring your own ideas!!

PROGRAM

Thu, 11 April 2018

9:00

Registration and Coffee
(Lobby & HS151)

10:00

Welcome and introduction
(HS152)

10:30

Presentations and Workshops (HS152)

Johannes Kares (Sennheiser)
Martin Aigner (Karajan Institut)
Matthew Mosher (FH Salzburg)
Patrik Lechner (Artist and Developer)
Jan Sauerzapf (Bösendorfer)

Project Proposals etc.