Improving GMM Classifiers by Preliminary One-class SVM Outlier Detection: Application to Automatic Music Mood Estimation

Author:

Lukashevich Hanna,Dittmar Christian

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Celma, O. (2008). Music recommendation and discovery in the long tail. PhD thesis, Universitat Pompeu Fabra, Barcelona, Spain.

2. Dittmar, C., Bastuck, C., & Gruhne, M. (2007). Novel mid-level audio features for music similarity. In Proceeedings of the International Conference on Music Communication Science (ICOMCS), Sydney, Australia (pp. 38–41).

3. Dunker, P., Nowak, S., Begau, A., & Lanz, C. (2008). Content-based mood classification for photos and music: A generic multi-modal classification framework and evaluation approach. In Proceedings of the International Conference on Multimedia Information Retrieval (ACM MIR), Vancouver, Canada (pp. 97–104).

4. Hevner, K.(1936). Experimental studies of the elements of expression in music. American Journal of Psychology, 48(2), 246–268.

5. Lee, K. (2006). Automatic chord recognition from audio using enhanced pitch class profile. In Proceedings of the International Computer Music Conference (ICMC), New Orleans, USA.

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