Mining Audio Data for Multiple Instrument Recognition in Classical Music

Author:

Kubera Elżbieta,Wieczorkowska Alicja A.

Publisher

Springer International Publishing

Reference35 articles.

1. Barbedo, J.G.A., Tzanetakis, G.: Musical instrument classification using individual partials. IEEE Trans. Audio Speech Lang. Process. 19(1), 111–122 (2011)

2. Benetos, E., Dixon, S., Giannoulis, D., Kirchhoff, H., Klapuri, A.: Automatic music transcription: breaking the glass ceiling. In: 13th International Society for Music Information Retrieval Conference (ISMIR), pp. 379–384 (2012)

3. Bosch, J.J., Janer, J., Fuhrmann, F., Herrera, P.: A comparison of sound segregation techniques for predominant instrument recognition in musical audio signals. In: 13th International Society for Music Information Retrieval Conference (ISMIR), pp. 559–564 (2012)

4. Breiman, L.: Random forests. Mach. Learn. 45, 5–32 (2001)

5. Cont, A., Dubnov, S., Wessel, D.: Realtime multiple-pitch and multiple-instrument recognition for music signals using sparse non-negativity constraints. In: Proceedings of the 10th International Conference on Digital Audio Effects (DAFx-07), pp. 85–92 (2007)

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