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Music, Interactive Conducting, and Machine Learning:
Course 9 of the
Ferienakademie 2006,
in the beautiful Sarntal, Südtirol (Sept 17-29, 2006)
Lecturers:
1. Prof. Bernd Brügge, TUM
2. Prof. Jürgen Schmidhuber, TUM
3. Prof. Asim Smailagic,
Carnegie Mellon University, USA
Guest: Key-Thomas Märkl, Bavarian Symphonic Orchestra
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How to apply:
Follow this link
(only students of TUM, Univ. Erlangen, Univ. Stuttgart).
Deadline: 26 May
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Overview.
In exciting theoretical and practical sessions
we will apply machine learning techniques to problems related to music,
and use augmented reality techniques to construct a virtual orchestra.
Possible group projects include:
1.
Automatic music classification through the universal distance measure
2.
Learning musical taste through boosting methods
3.
Learning to compose music through
recurrent neural nets
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4.
Gesture recognition for conductor patterns
5.
Sibelius Interface: simultaneous musical score and video/audio of orchestra
6.
Low Latency Home Conductor: thin client (notebook with camera) operates
via WWW on a network of music processors
7.
Tracking the conductor's eye - only the viewed instrument reacts to gestures
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