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» Distributed Audio Feature Extraction for Music
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ISMIR
2005
Springer
127views Music» more  ISMIR 2005»
13 years 10 months ago
Distributed Audio Feature Extraction for Music
One of the important challenges facing music information retrieval (MIR) of audio signals is scaling analysis algorithms to large collections. Typically, analysis of audio signals...
Stuart Bray, George Tzanetakis
AIRS
2005
Springer
13 years 10 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...
IPM
2007
182views more  IPM 2007»
13 years 4 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
2005
Springer
226views Music» more  ISMIR 2005»
13 years 10 months ago
Musical Genre Classification Enhanced by Improved Source Separation Technique
We present a system for musical genre classification based on audio features extracted from signals which correspond to distinct musical instrument sources. For the separation of...
Aristomenis S. Lampropoulos, Paraskevi S. Lampropo...
ISMIR
2005
Springer
176views Music» more  ISMIR 2005»
13 years 10 months ago
On the Modeling of Time Information for Automatic Genre Recognition Systems in Audio Signals
The creation of huge databases coming from both restoration of existing analogue archives and new content is demanding fast and more and more reliable tools for content analysis a...
Nicolas Scaringella, Giorgio Zoia