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Self-organizing maps (SOMs) as an AI tool for music analysis and production

Dr. Simon Linke

6. [to do: rm #] References

[1] Kohonen, T.: Self-organizing maps. Springer, Berlin 1995.

[2] Ziemer, T.: Sound Terminology Describing Production and Perception of Sonification. arXiv:2312.00091[cs.SD] 2023.

[3] Schneider, A.: Pitch and Pitch Perception. In: Bader, R. (eds): Springer Handbook of Systematic Musicology, Springer Handbooks. Springer, Berlin, Heidelberg, 2018.

[4] Plath, N. & Bader, R.: Piano Timbre Development Analysis using Machine Learning. arXiv:2112.03214[q-bio.NC] 2021.

[5] Wendt, G. & Bader, R.: Analysis and Perception of Javanese Gamelan Tunings. In: Bader, R. (eds): Computational Phonogram Archiving, Current Research in Systematic Musicology, vol 5. Springer, Cham., 2019.

[6] Schmedecke, L.: Bass Drop! – Der Bass in der modernen, populären Tanzmusik (Bass Drop! – Bass in modern popular dance music). PhD Thesis. Hamburg: UHH. 2021.

[7] Kohonen, T.: The self-organizing map. Proceedings of the IEEE, 78(9), 1464-1480, 1990.