Note:
This bibliographic page is archived and will no longer be updated.
For an up-to-date list of publications from the Music Technology Group see the
Publications list
.
Music classification using high-level models
| Title | Music classification using high-level models |
| Publication Type | Miscellaneous |
| Year of Publication | 2010 |
| Authors | Wack, N. , Laurier C. , Meyers O. , Marxer R. , Bogdanov D. , Serrà J. , Gómez E. , & Herrera P. |
| Abstract | We report here about our submissions to different music classification tasks for the MIREX 2010 evaluations. These submissions are similar to the ones sent at MIREX 2009 (see [1]), if we look at the classifiers and the main audio features. However we added high-level features (or semantic features), based on Support Vector Machine models of curated databases of different kind. We submitted two different algorithms evaluated on Mood, Genre and Artists classification. One of them is a classification algorithm using a weighted sum of Support Vector Machines. The other one is based on distances (Euclidean in a reduced space using RCA and Kullback Leibler on Mel Frequency Cepstrum Coefficients), together with K-NN. |
| Notes | Access to MIREX2010 results: http://www.music-ir.org/mirex/wiki/2010:MIREX2010_Results |
| preprint/postprint document | files/publications/WLB1.pdf |
