Genre classification for million song dataset using confidence-based classifiers combination

SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2012, Pages 1083-1084

  Hu, Yajie ^a   Ogihara, Mitsunori ^a  

^a Department of Computer Science and Center for Computational Science   (United States)

Author keywords

classifier combination; song genre classification

Indexed keywords

CLASSIFICATION CONFIDENCE; CLASSIFIER COMBINATION; DATA SETS; DATA TYPE; GENRE CLASSIFICATION; SVM CLASSIFIERS;

INFORMATION RETRIEVAL;

CLASSIFICATION (OF INFORMATION);

EID: 84866596498     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2348283.2348480     Document Type: Conference Paper

References (3)

1. http://www.music-ir.org/mirex/wiki/2009.
2. C.-H. Lee. Learning to combine discriminative classifiers: confidence based. In Proceedings of the 16th ACM SIGKDD, KDD '10, pages 743-752, New York, USA, 2010.
3. C. McKay, J. A. Burgoyne, J. Hockman, J. B. L. Smith, G. Vigliensoni, and I. Fujinaga. Evaluating the genre classification performance of lyrical features relative to audio, symbolic and cultural features. In Proceedings of the 11th ISMIR, ISMIR '10, pages 213-718, Utrecht, Netherlands, 2010.