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Results: 21
Number of items: 21
  • Honingh, A., Panteli, M., Brockmeier, T., López Mejía, D. I., & Sadakata, M. (2015). Perception of timbre and rhythm similarity in Electronic Dance Music. Journal of New Music Research, 44(4), 373-390. https://doi.org/10.1080/09298215.2015.1107102
  • Open Access
    Honingh, A. K., Burgoyne, J. A., van Kranenburg, P., & Volk, A. (2014). Strengthening Interdisciplinarity in MIR: Four Examples of Using MIR Tools for Musicology. (Institute for Logic, Language, and Computation; No. PP-2014-18). University of Amsterdam. http://www.illc.uva.nl/Research/Publications/Reports/PP-2014-18.text.pdf
  • Open Access
    Panteli, M., Rocha, B., Bogaards, N., & Honingh, A. (2014). Development of a Rhythm Similarity Model for Electronic Dance Music. Abstract from Audio Engineering Society 53rd International Conference, London, United Kingdom.
  • Open Access
    Panteli, M., Bogaards, N., & Honingh, A. K. (2014). Modeling rhythm similarity for Electronic Dance Music. In H.-M. Wang, Y.-H. Yang, & J. H. Lee (Eds.), Proceedings of the 15th International Society for Music Information Retrieval Conference: ISMIR 2014, Taipei, Taiwan, October 27-31, 2014 (pp. 537-542). ISMIR. http://www.terasoft.com.tw/conf/ismir2014/proceedings/T097_268_Paper.pdf
  • Open Access
    Rocha, B., Bogaards, N., & Honingh, A. (2013). Segmentation and Timbre Similarity in Electronic Dance Music. In R. Bresin (Ed.), Proceedings of SMC 2013: 10th Sound and Music Computing Conference : July 30-August 2, 2013, KTH Royal Institute of Technology, Stockhol, Sweden (pp. 754-761). Logos-Verlag. http://www.speech.kth.se/smac-smc-2013/
  • Open Access
    Rocha, B., Bogaards, N., & Honingh, A. (2013). Segmentation and timbre- and rhythm-similarity in Electronic Dance Music. (ILLC Prepublication series; No. 2013-10). Institute for Logic, Language and Computation, University of Amsterdam. https://eprints.illc.uva.nl/482/
  • Volk, A., & Honingh, A. (2012). Mathematical and computational approaches to music: challenges in an interdisciplinary enterprise. Journal of Mathematics and Music, 6(2), 73-81. https://doi.org/10.1080/17459737.2012.704154
  • Honingh, A., & Bod, R. (2011). In search of universal properties of musical scales. Journal of New Music Research, 40(1), 81-89. https://doi.org/10.1080/09298215.2010.543281
  • Open Access
    Honingh, A., & Bod, R. (2011). Clustering and classification of music using interval categories. In C. Agon, M. Andreatta, G. Assayag, E. Amiot, J. Bresson, & J. Mandereau (Eds.), Mathematics and Computation in Music: third international conference, MCM 2011, Paris, France, June 15-17, 2011 : proceedings (pp. 346-349). (Lecture Notes in Computer Science; Vol. 6726), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-21590-2_30
  • Honingh, A., & Bod, R. (2010). Pitch class set categories as analysis tools for degrees of tonality. In J. D. Downie, & R. C. Veltkamp (Eds.), ISMIR 2010 : proceedings of the 11th International Society for Music Information Retrieval Conference: August 9-13, 2010, Utrecht, Netherlands (pp. 459-464). International Society for Music Information Retrieval. http://ismir2010.ismir.net/proceedings/ismir2010-78.pdf
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