Painting Music: Using artificial intelligence to create music from live painted drawings

References

1. Fast, E., and Horvitz, E.. ( 2017;), ‘ Long-term trends in the public perception of artificial intelligence. ’, AAAI;, pp. 963–69.
   [Google Scholar]
2. Frigo, M., and Johnson, S. G.. ( 1998;), ‘ FFTW: An adaptive software architecture for the FFT. ’, in Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, 15 May, Piscataway, NJ:: IEEE Signal Processing Society;, pp. 1381–84.
   [Google Scholar]
3. Gagniuc, P. A.. ( 2017), Markov Chains: From Theory to Implementation and Experimentation, Hoboken, NJ:: John Wiley & Sons;.
   [Google Scholar]
4. Graves, A.,, Liwicki, M.,, Fernandez, S.,, Bertolami, R.,, Bunke, H., and Schmidhuber, J.. ( 2009;), ‘ A novel connectionist system for improved unconstrained handwriting recognition. ’, IEEE Transactions on Pattern Analysis and Machine Intelligence, 31:5, pp. 855–68.
   [Google Scholar]
5. Graves, A., and Schmidhuber, J.. ( 2009;), ‘ Offline handwriting recognition with multidimensional recurrent neural networks. ’, in Y. Bengio,, D. Schuurmans,, J, Lafferty,, C. K. I. Williams, and A, Culotta. (eds), Advances in Neural Information Processing Systems 22, Vancouver, BC:: Neural Information Processing Systems Foundation;, pp. 545–52.
   [Google Scholar]
6. Kandinsky, W.. ( 1910;), Concerning the Spiritual in Art. , New York:: Dover Fine Art;.
   [Google Scholar]
7. Kelley, P. G.,, Yang, Y.,, Heldreth, C.,, Moessner, C.,, Sedley, A.,, Kramm, A.,, Newman, D., and Woodruff, A.. ( 2020;), ‘ “Happy and assured that life will be easy 10 years from now”: Perceptions of artificial intelligence in 8 countries. ’, arXiv:2001.00081 , https://arxiv.org/pdf/2001.00081.pdf. Accessed 16 October 2020.
8. Kohonen, T.,, Nieminen, I. T., and Honkela, T.. ( 2009;), ‘ On the quantization error in SOM vs. VQ: A critical and systematic study. ’, in Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps, 8–10 June, Heidelberg:: Springer-Verlag;, pp. 133–44.
   [Google Scholar]
9. Kohonen, T.,, Schroeder, M. R., and Huang, T. S.. ( 2001), Self-Organizing Maps, , 3rd ed.., Heidelberg:: Springer-Verlag;.
   [Google Scholar]
10. Linskens, E.. ( 2014), Music Improvisation Using Markov Chains, Maastricht:: Maastricht University;.
    [Google Scholar]
11. Matlab ( 2019), Matlab Release 2019, Natick, MA:: The MathWorks, Inc;.
    [Google Scholar]
12. Vi, C. T.,, Ablart, D.,, Gatti, E.,, Velasco, C., and Obrist, M.. ( 2017;), ‘ Not just seeing, but also feeling art: Mid-air haptic experiences integrated in a multisensory art exhibition. ’, International Journal of Human-Computer Studies, 108, December, pp. 1–14.
    [Google Scholar]
13. Starkey, Andrew,, Steenhauer, Kate, and Caven, Jack. ( 2020;) ‘ Painting Music: Using artificial intelligence to create music from live painted drawings. ’, Drawing: Research, Theory, Practice, 5:2, pp. 209–224, doi: https://doi.org/10.1386/drtp_00033_1
    [Google Scholar]