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International Conference on Applications of Natural Language to Data Bases/Information Systems

NLDB 2014: Natural Language Processing and Information Systems pp 89–100Cite as

Nordic Music Genre Classification Using Song Lyrics

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 8455)

Abstract

Lyrics-based music genre classification is still understudied within the music information retrieval community. The existing approaches, reported in the literature, only deals with lyrics in the English language. Thus, it is necessary to evaluate if the standard text classification techniques are suitable for lyrics in languages other than English. More precisely, in this work we are interested in analyzing which approach gives better results: a language-dependent approach using stemming and stopwords removal or a language-independent approach using n-grams. To perform the experiments we have created the Nordic music genre lyrics database. The analysis of the experimental results shows that using a language-independent approach with the n-gram representation is better than using a language-dependent approach with stemming. Additional experiments using stylistic features were also performed. The analysis of these additional experiments has shown that using stylistic features combined with the other approaches improve the classification results.

Keywords

  • Lyrics Classification
  • Multi-language text classification
  • Music Genre Classification

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Author information

Authors and Affiliations

  1. Computer Music Technology Laboratory, Federal University of Technology of Parana (UTFPR), Av. Alberto Carazzai, 1., 640 - 86300-000, Cornélio Procópio, PR, Brazil

    Adriano A. de Lima, Rodrigo M. Nunes, Rafael P. Ribeiro & Carlos N. Silla Jr.

Authors
  1. Adriano A. de Lima
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  2. Rodrigo M. Nunes
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  3. Rafael P. Ribeiro
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  4. Carlos N. Silla Jr.
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Editor information

Editors and Affiliations

  1. Conservatoire National des Arts et Métiers, Computer Science,, 2 rue Conté, 75003, Paris, France

    Elisabeth Métais

  2. Cirad, TETIS, 500 rue J.F. Breton, 34093, Montpellier Cedex 5, France

    Mathieu Roche

  3. Irstea, TETIS, 500 rue J.F. Breton, 34093, Montpellier Cedex 5, France

    Maguelonne Teisseire

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© 2014 Springer International Publishing Switzerland

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de Lima, A.A., Nunes, R.M., Ribeiro, R.P., Silla, C.N. (2014). Nordic Music Genre Classification Using Song Lyrics. In: Métais, E., Roche, M., Teisseire, M. (eds) Natural Language Processing and Information Systems. NLDB 2014. Lecture Notes in Computer Science, vol 8455. Springer, Cham. https://doi.org/10.1007/978-3-319-07983-7_14

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  • DOI: https://doi.org/10.1007/978-3-319-07983-7_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07982-0

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