Influence of Low-Level Features Extracted from Rhythmic and Harmonic Sections on Music Genre Classification

Author:

Rosner Aldona,Weninger Felix,Schuller Björn,Michalak Marcin,Kostek Bozena

Publisher

Springer International Publishing

Reference11 articles.

1. Bogdanov, D., Herrea, P.: How much metadata do we need in music recommendation? a subjective evaluation using preference sets. In: Proceedings of 12th International Society for Music Information Retrieval Conference (ISMIR 2011), pp. 97–102 (2011)

2. Hu, Y., Ogihara, M.: Nextone player: A music recommendation system based on user behavior. In: Proceedings of 12th International Society for Music Information Retrieval Conference (ISMIR 2011), pp. 103–108 (2011)

3. SCI;B. Kostek,2005

4. McKay, C., Fuginaga, I.: Automatic genre classification using large high-level musical feature sets. In: Proceedings of 5th International Society for Music Information Retrieval Conference (ISMIR 2004), Universitat Pompeu Fabra (2004)

5. Rosner, A., Michalak, M., Kostek, B.: A study on influence of normalization methods on music genre classification results employing kNN algorithm. In: Studia Informatica. Proceedings of 9th National Conference on Bazy Danych: Aplikacje i Systemy, vol. 34, pp. 411–423. Springer (2013)

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