Probabilistic and Logic-Based Modelling of Harmony

Author:

Dixon Simon,Mauch Matthias,Anglade Amélie

Publisher

Springer Berlin Heidelberg

Reference44 articles.

1. Anglade, A., Benetos, E., Mauch, M., Dixon, S.: Improving music genre classification using automatically induced harmony rules. Journal of New Music Research 39(4), 349–361 (2010)

2. Anglade, A., Dixon, S.: Characterisation of harmony with inductive logic programming. In: 9th International Conference on Music Information Retrieval, pp. 63–68 (2008)

3. Anglade, A., Ramirez, R., Dixon, S.: First-order logic classification models of musical genres based on harmony. In: 6th Sound and Music Computing Conference, pp. 309–314 (2009)

4. Anglade, A., Ramirez, R., Dixon, S.: Genre classification using harmony rules induced from automatic chord transcriptions. In: 10th International Society for Music Information Retrieval Conference, pp. 669–674 (2009)

5. Aucouturier, J.J., Defréville, B., Pachet, F.: The bag-of-frames approach to audio pattern recognition: A sufficient model for urban soundscapes but not for polyphonic music. Journal of the Acoustical Society of America 122(2), 881–891 (2007)

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