![](https://learn.hoou.de/pluginfile.php/6562/course/overviewfiles/AI%20in%20music%2001.png)
MUTOR: Artificial Intelligence for Music and Multimedia
The Music Technology Online Repository (MUTOR) offers OERs for distant and blended learning in music technology and multimedia. MUTOR-Artificial Intelligence for Music and Multimedia is the third course on the MUTOR platform.
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MUTOR offers open courses and teaching materials for distant and blended learning in music technology. The repository was designed to answer to the needs of bachelor and master students as well as the general public .
In this course, we were able to solicit contributions by leading figures in the field of AI in music and sound as well as teachers and doctoral students at the HfMT. Contributors include: Rebecca Fiebrink from University of the Arts London, Kıvanç Tatar from Chalmers University of Technology, Prateek Verman from Stanford University, Simon Link from Uni Hamburg, Alessandro Anatrini, Greg Beller, Guilherme Coelho, and Genoël von Lilienstern from HfMt Hamburg. The authors cover various topics including Interactive Machine Learning for Music, Generative AI and Music Generation, Organized Sound Spaces with Machine Learning, Sound Gesture Intelligence, Self-Organizing Maps, and New Artistic Workflows in Dealing with Generative Audio Tools, History of AI and Contemporary AI Musical Instruments.
Lernziele
Through the gradual learning of these units students will get an overview of current practices in the fields of Artificial Intelligence for Music and Multimedia. The students will be enabled to competently discuss the impact of AI on the understanding and appreciation of music.
Lernmethode
This MUTOR class has a total of 8 units, each unit being composed of a synopsis, specific content, quizzes and a section with references. A large number of images, animations, audio and video examples are used in these units to make asynchronous and blended learning a pleasant experience. In these units, the focus is both on scientific research as well as on its artistic application.
Nähere Infos
Alessandro Anatrini, Greg Beller, Guilherme Coelho, Rebecca Fiebrink, Georg Hajdu, Simon Link, Kıvanç Tatar, Prateek Verman and Genoël von Lilienstern
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