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» Features for audio and music classification
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AIRS
2005
Springer
15 years 3 months ago
A Probabilistic Model for Music Recommendation Considering Audio Features
In order to make personalized recommendations, many collaborative music recommender systems (CMRS) focused on capturing precise similarities among users or items based on user hist...
Qing Li, Sung-Hyon Myaeng, Donghai Guan, Byeong Ma...
ICMCS
2009
IEEE
117views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Clustering for music search results
Clustering for better representation of the diversity of text or image search results has been studied extensively. In this paper, we extend this methodology to the novel domain o...
Yi-Hsuan Yang, Yu-Ching Lin, Homer H. Chen
ICASSP
2010
IEEE
14 years 9 months ago
Characterization of movie genre based on music score
While it is clear that the full emotional effect of a movie scene is carried through the successful interpretation of audio and visual information, music still carries a significa...
Aida Austin, Elliot Moore II, Udit Gupta, Parag Ch...
ISMIR
2004
Springer
111views Music» more  ISMIR 2004»
15 years 3 months ago
Feature Weighting for Segmentation
This paper proposes the use of feature weights to reveal the hierarchical nature of music audio. Feature weighting has been exploited in machine learning, but has not been applied...
R. Mitchell, Irfan A. Essa
ISMIR
2005
Springer
169views Music» more  ISMIR 2005»
15 years 3 months ago
Toward Automated Holistic Beat Tracking, Music Analysis and Understanding
Most music processing attempts to focus on one particular feature or structural element such as pitch, beat location, tempo, or genre. This hierarchical approach, in which music i...
Roger B. Dannenberg