Evaluation of n-Gram-Based Classification Approaches on Classical Music Corpora

Author:

Wołkowicz Jacek,Kešelj Vlado

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Wołkowicz, J., Kešelj, V.: Predicting development of research in music based on parallels with natural language processing. In: Downie, J.S., Veltkamp, R.C. (eds.) Proceedings of the International Society for Music Information Retrieval Conference, Utrecht, the Netherlands, pp. 665–667 (2010)

2. Downie, S.: Evaluating a simple approach to music information retrieval: Conceiving melodic n-grams as text. PhD thesis, University of Western Ontario, London, Ontario (1999)

3. Uitdenbogerd, A.: Music Information Retrieval Technology. PhD thesis, RMIT University, Melbourne, Australia (2002)

4. Doraisamy, S.: Polyphonic Music Retrieval: The n-gram Approach. PhD thesis, University of London (2004)

5. Downie, S.: The music information retrieval evaluation exchange (2005–2007): A window into music information retrieval research. Acoustical Science and Technology 29, 247–255 (2008)

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