[spectre] Lecture: Machine Listening and Learning for Musical Systems

[l'ull cec]

Machine listening and learning for musical systems (by Nick Collins)

Musical articial intelligences are playing an important role in new 
composition and performance systems. Critical to enhanced capabilities 
for such machine musicians will be listening facilities modeling human 
audition, and machine learning able to match the minimum 10000 hours or 
ten years of intensive practice of expert human musicians. Future 
musical agents will cope across multiple rehearsals and concert tours, 
or gather multiple commissions, potentially working over long musical 
lifetimes; they may be virtuoso performers and composers attributed in 
their own right, or powerful musical companions and assistants to human 
musicians.

In this presentation we’ll meet a number of projects related to these 
themes. The concert system LL will be introduced, an experiment in 
listening and learning applied in works for drummer and computer, and 
electric violin and computer. Autocousmatic will be presented, an 
algorithmic composer for electroacoustic music which incorporates 
machine listening in its critic module. Large corpus content analysis 
work in music information retrieval shows great promise when adapted to 
concert systems and automated composers, and the SuperCollider library 
SCMIR will be demonstrated, alongside a new realtime polyphonic pitch 
tracker.

Thursday 07.06.2012, 15:30h
Pompeu Fabra University (Room 52.321, 3rd floor)
Roc Boronat, 158. Barcelona. Metro Glòries.
Free admission

+info: [ 
http://lullcec.org/en/2012/lectures/escolta-i-aprenentatge-artificials-per-a-sistemes-musicals/ 
]

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