BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Experimental and computational approaches to implicit learning of 
 musical structure - Martin Rohrmeier\, University of Cambridge
DTSTART:20091130T113000Z
DTEND:20091130T120000Z
UID:TALK21700@talks.cam.ac.uk
CONTACT:Dr Fabien Petitcolas
DESCRIPTION:*Abstract*: Implicit learning constitutes a root process in th
 e human interaction with the environment. Most processes in music percepti
 on and cognition are governed by a large body of implicit knowledge acquir
 ed through massive exposure to and interaction with music during encultura
 tion processes independently of musical expertise or background. However\,
  real-world musical structure encompasses a complexity which still eludes 
 comprehensive structural description or computational tractability (in com
 parison to even the most basic human abilities). Accordingly\, one of the 
 key notions to improve computational models and processing and to better u
 nderstand music perception is to study how humans manage to deal with the 
 complexity and to explore human processes of implicit learning in experime
 ntal conditions and computational modelling. Such an understanding is foun
 dational for the development of flexible\, practically applicable (cogniti
 vely adequate) methods of computational music analysis\, automated music (
 style) classification and music information retrieval.\n\nThe talk aims to
  give an overview about the research in this area that was performed by Ia
 n Cross and myself during the past years\; it will present and relate find
 ings from experimental\, computational and music information-retrieval per
 spectives.
LOCATION:Small Lecture Room\, Microsoft Research\, Roger Needham Building\
 , 7 J J Thomson Avenue\, Cambridge CB3 0FB
END:VEVENT
END:VCALENDAR