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» Methods for Combining Statistical Models of Music
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CMMR
2004
Springer
118views Music» more  CMMR 2004»
13 years 10 months ago
Methods for Combining Statistical Models of Music
Abstract. The paper concerns the use of multiple viewpoint representation schemes for prediction with statistical models of monophonic music. We present an experimental comparison ...
Marcus Pearce, Darrell Conklin, Geraint A. Wiggins
MM
2004
ACM
117views Multimedia» more  MM 2004»
13 years 10 months ago
Singing voice detection in popular music
We propose a novel technique for the automatic classification of vocal and non-vocal regions in an acoustic musical signal. Our technique uses a combination of harmonic content a...
Tin Lay Nwe, Arun Shenoy, Ye Wang
SIGIR
2010
ACM
13 years 9 months ago
Effective music tagging through advanced statistical modeling
Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...
Jialie Shen, Wang Meng, Shuichang Yan, HweeHwa Pan...
SSPR
2004
Springer
13 years 10 months ago
A Shallow Description Framework for Musical Style Recognition
Abstract. In the field of computer music, pattern recognition algorithms are very relevant for music information retrieval (MIR). One challenging task within this area is the auto...
Pedro J. Ponce de León, Carlos Pérez...
WISE
2009
Springer
14 years 2 months ago
A Web Recommender System for Recommending, Predicting and Personalizing Music Playlists
In this paper, we present a Web recommender system for recommending, predicting and personalizing music playlists based on a user model. We have developed a hybrid similarity match...
Zeina Chedrawy, Syed Sibte Raza Abidi