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» Using User Models in Music Information Retrieval Systems
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SIGIR
2009
ACM
14 years 3 months ago
Combining audio content and social context for semantic music discovery
When attempting to annotate music, it is important to consider both acoustic content and social context. This paper explores techniques for collecting and combining multiple sourc...
Douglas Turnbull, Luke Barrington, Gert R. G. Lanc...
CHI
2006
ACM
14 years 9 months ago
Robot-human interaction with an anthropomorphic percussionist
The paper presents our approach for human-machine interaction with an anthropomorphic mechanical percussionist that can listen to live players, analyze perceptual musical aspects ...
Gil Weinberg, Scott Driscoll
AMR
2005
Springer
100views Multimedia» more  AMR 2005»
14 years 2 months ago
Using Segmented Objects in Ostensive Video Shot Retrieval
This paper presents a system for video shot retrieval in which shots are retrieved based on matching video objects using a combination of colour, shape and texture. Rather than mat...
Sorin Sav, Hyowon Lee, Alan F. Smeaton, Noel E. O'...
IPM
2007
182views more  IPM 2007»
13 years 8 months ago
A probabilistic music recommender considering user opinions and audio features
A recommender system has an obvious appeal in an environment where the amount of on-line information vastly outstrips any individual’s capability to survey. Music recommendation...
Qing Li, Sung-Hyon Myaeng, Byeong Man Kim
ISMIR
2001
Springer
199views Music» more  ISMIR 2001»
14 years 1 months ago
Automatic Musical Genre Classification of Audio Signals
Musical genres are categorical descriptions that are used to describe music. They are commonly used to structure the increasing amounts of music available in digital form on the W...
George Tzanetakis