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MM
2010
ACM
178views Multimedia» more  MM 2010»
13 years 5 months ago
Social audio features for advanced music retrieval interfaces
The size of personal music collections has constantly increased over the past years. As a result, the traditional metadata based lists to browse these collections have reached the...
Michael Kuhn 0002, Roger Wattenhofer, Samuel Welte...
IV
2010
IEEE
140views Visualization» more  IV 2010»
13 years 3 months ago
GVIS: An Integrating Infrastructure for Adaptively Mashing up User Data from Different Sources
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...
Luca Mazzola, Riccardo Mazza
ISM
2008
IEEE
122views Multimedia» more  ISM 2008»
13 years 5 months ago
Music Genre Classification and Similarity Calculation Using Bass-Line Features
Various studies on music information retrieval have been conducted. Most of them used low-level features such as spectral and cepstral features, which are effective to some extent...
Tetsuro Kitahara, Yusuke Tsuchihashi, Haruhiro Kat...
ISMIR
2005
Springer
145views Music» more  ISMIR 2005»
13 years 10 months ago
An Investigation of Feature Models for Music Genre Classification Using the Support Vector Classifier
In music genre classification the decision time is typically of the order of several seconds, however, most automatic music genre classification systems focus on short time feat...
Anders Meng, John Shawe-Taylor
ISMIR
2005
Springer
151views Music» more  ISMIR 2005»
13 years 10 months ago
Markov Random Fields and Maximum Entropy Modeling for Music Information Retrieval
Music information retrieval is characterized by a number of various user information needs. Systems are being developed that allow searchers to find melodies, rhythms, genres, an...
Jeremy Pickens, Costas S. Iliopoulos