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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

We proposed a method to classify songs in the Million Song Dataset according to song genre. Since songs have several data types, we trained sub-classifiers by different types of data. These sub-classifiers are combined using both classifier authority and classification confidence for a particular instance. In the experiments, the combined classifier surpasses all of these sub-classifiers and the SVM classifier using concatenated vectors from all data types. Finally, the genre labels for the Million Song Dataset are provided.

Original languageEnglish (US)
Title of host publicationSIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages1083-1084
Number of pages2
DOIs
StatePublished - 2012
Event35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012 - Portland, OR, United States
Duration: Aug 12 2012Aug 16 2012

Other

Other35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012
CountryUnited States
CityPortland, OR
Period8/12/128/16/12

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Keywords

  • classifier combination
  • song genre classification

ASJC Scopus subject areas

  • Information Systems

Cite this

Hu, Y., & Ogihara, M. (2012). Genre classification for million song dataset using confidence-based classifiers combination. In SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1083-1084) https://doi.org/10.1145/2348283.2348480

Genre classification for million song dataset using confidence-based classifiers combination. / Hu, Yajie; Ogihara, Mitsunori.

SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval. 2012. p. 1083-1084.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hu, Y & Ogihara, M 2012, Genre classification for million song dataset using confidence-based classifiers combination. in SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 1083-1084, 35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012, Portland, OR, United States, 8/12/12. https://doi.org/10.1145/2348283.2348480
Hu Y, Ogihara M. Genre classification for million song dataset using confidence-based classifiers combination. In SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval. 2012. p. 1083-1084 https://doi.org/10.1145/2348283.2348480
Hu, Yajie ; Ogihara, Mitsunori. / 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. 2012. pp. 1083-1084
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