Three current issues in music autotagging

Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011

Volumn , Issue , 2011, Pages 795-800

  Marques, Gonçalo ^a   Domingues, Marcos Aurélio ^b   Langlois, Thibault ^c   Gouyon, Fabien ^b  

^a DEETC ISEL Lisboa   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

^c UNIVERSITY OF LISBON   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO FEATURES; CURRENT PERFORMANCE; DIFFERENT ORIGINS; DIRECT MAPPING; EVALUATION METRICS; IMPROVE PERFORMANCE; PERFORMANCE LEVEL; SYSTEMATIC EXPERIMENT; TAG MODELS;

INFORMATION RETRIEVAL;

EXPERIMENTS;

EID: 84873607627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. J.-J. Aucouturier. Language, Evolution and the Brain, Frontiers in Linguistics Series, chapter Sounds like Teen Spirit: Computational Insights into the Grounding of Everyday Musical Terms. Academia Sinica Press, 2009.
2. T. Bertin-Mahieux, D. Eck, F. Maillet, and P. Lamere. Autotagger: A model for predicting social tags from acoustic features on large music databases. JNMR, 37(2), 2008.
3. A. Flexer. A closer look on artists filters for musical genre classification. In ISMIR, 2007.
4. M. Hoffman, D. Blei, and P. Cook. Easy as CBA: A simple probabilistic model for tagging music. In ISMIR, 2009.
5. T. Langlois and G. Marques. A music classification method based on timbral features. In ISMIR, 2009.
6. R. Miotto, L. Barrington, and G. Lanckriet. Improving auto-tagging by modeling semantic co-occurrences. In ISMIR, 2010.
7. S. Ness, A. Theocharis, G. Tzanetakis, and L. Martins. Improving automatic music tag annotation using stacked generalization of probabilistic SVM outputs. In ACM Multimedia, 2009.
8. F. Pachet and P. Roy. Improving multilabel analysis of music titles: A large-scale validation of the correction approach. IEEE TASLP, 17(2):335 -343, 2009.
9. K. Seyerlehner, G.Widmer, M. Schedl, and P. Knees. Automatic music tag classification based on block-level features. In SMC Conference, 2010.
10. D. Tingle, Y. E. Kim, and D. Turnbull. Exploring automatic music annotation with "acoustically-objective" tags. In ACM Int. Conf. on Multimedia Information Retrieval, 2010.
11. D. Turnbull, Barrington. L., D. Torres, and G. Lanckriet. Semantic annotation and retrieval of music and sound effects. IEEE TASLP, 16(2):467-476, 2008.
12. Z. Zhao, X.Wang, Q. Xiang, A. M. Sarroff, Z. Li, and Y.Wang. Largescale music tag recommendation with explicit multiple attributes. In ACM Multimedia, 2010.