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» A music recommender based on audio features
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DMIN
2009
132views Data Mining» more  DMIN 2009»
13 years 4 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
ISMIR
2003
Springer
161views Music» more  ISMIR 2003»
13 years 11 months ago
Improving polyphonic and poly-instrumental music to score alignment
Music alignment links events in a score and points on the audio performance time axis. All the parts of a recording can be thus indexed according to score information. The automat...
Ferréol Soulez, Xavier Rodet, Diemo Schwarz
NIME
2005
Springer
132views Music» more  NIME 2005»
13 years 12 months ago
"iltur" - Connecting Novices and Experts Through Collaborative Improvisation
The iltur system features a novel method of interaction between expert and novice musicians through a set of musical controllers called Beatbugs. Beatbug players can record live m...
Gil Weinberg, Scott Driscoll
ISMIR
2005
Springer
206views Music» more  ISMIR 2005»
13 years 12 months ago
Improving Content-Based Similarity Measures by Training a Collaborative Model
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
Richard Stenzel, Thomas Kamps
ISMIR
2003
Springer
133views Music» more  ISMIR 2003»
13 years 11 months ago
Chord segmentation and recognition using EM-trained hidden markov models
Automatic extraction of content description from commercial audio recordings has a number of important applications, from indexing and retrieval through to novel musicological ana...
Alexander Sheh, Daniel P. W. Ellis