Music genre classification with taxonomy

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

35 Citations (Scopus)

Abstract

Automatic music genre classification is a fundamental component of music information retrieval systems and has been gaining importance and enjoying a growing amount of attention with the emergence of digital music on the Internet. Although considerable research has been conducted in automatic music genre classification, little has been done on hierarchical classification with taxonomies. The underlying hierarchical taxonomy identifies the relationships of dependence between different genres and provides valuable sources of information for genre classification. This paper investigates the use of taxonomy for music genre classification. Our empirical experiments on two datasets show that using taxonomy improves the classification performance. We also propose an approach for automatically generating genre taxonomies based on the confusion matrix via linear discriminant projection. Our work also provides some insights for future research.

Original languageEnglish (US)
Title of host publication2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
PublisherInstitute of Electrical and Electronics Engineers Inc.
VolumeV
ISBN (Print)0780388747, 9780780388741
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: Mar 18 2005Mar 23 2005

Other

Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
CountryUnited States
CityPhiladelphia, PA
Period3/18/053/23/05

Fingerprint

taxonomy
music
Taxonomies
Computer music
information retrieval
Information retrieval systems
confusion
projection
Internet
matrices

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

Cite this

Li, T., & Ogihara, M. (2005). Music genre classification with taxonomy. In 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions (Vol. V). [1416274] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2005.1416274

Music genre classification with taxonomy. / Li, Tao; Ogihara, Mitsunori.

2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions. Vol. V Institute of Electrical and Electronics Engineers Inc., 2005. 1416274.

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

Li, T & Ogihara, M 2005, Music genre classification with taxonomy. in 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions. vol. V, 1416274, Institute of Electrical and Electronics Engineers Inc., 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, PA, United States, 3/18/05. https://doi.org/10.1109/ICASSP.2005.1416274
Li T, Ogihara M. Music genre classification with taxonomy. In 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions. Vol. V. Institute of Electrical and Electronics Engineers Inc. 2005. 1416274 https://doi.org/10.1109/ICASSP.2005.1416274
Li, Tao ; Ogihara, Mitsunori. / Music genre classification with taxonomy. 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions. Vol. V Institute of Electrical and Electronics Engineers Inc., 2005.
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