References
[1]. Fulzele P, Singh R, Kaushik N, et al. 2018 A hybrid model for music genre classification using LSTM and SVM. 2018 Eleventh International Conference on Contemporary Computing (IC3). IEEE, pp 1-3.
[2]. Art & Music. The Smithsonian Institution's Human Origins Program, 19 Sept. 2022, Retrieved from: https://humanorigins.si.edu/evidence/behavior/art-music#:~:text=Making%20music%20is%20a%20universal,at%20least%2035%2C000%20years%20ago.
[3]. Avdeeff M 2019 Artificial intelligence & popular music: SKYGGE, flow machines, and the audio uncanny valley. Arts. MDPI, vol 8(4) p 130.
[4]. Computer Music (so Far). Short History of Computer Music, Retrieved from: https://artsites.ucsc.edu/EMS/Music/equipment/computers/history/history.html
[5]. Kotecha N and Young P 2018 Generating music using an LSTM network. arXiv preprint arXiv:1804.07300.
[6]. Mangal S, Modak R and Joshi P 2019 Lstm based music generation system. arXiv preprint arXiv:1908.01080.
[7]. Moffat D and Sandler M B 2019 Approaches in intelligent music production. Arts. MDPI, vol 8(4) p 125.
[8]. Saxena S 2023 Learn about Long Short-Term Memory (LSTM) Algorithms. Analytics Vidhya, 3 Mar. Retrieved from: https://www.analyticsvidhya.com/blog/2021/03/introduction-to-long-short-term-memory-lstm/.
[9]. Carnovalini F and Rodà A 2020 Computational creativity and music generation systems: An introduction to the state of the art. Frontiers in Artificial Intelligence, vol 3 p 14.
[10]. Sturm B L T, Iglesias M, Ben-Tal O, et al 2019 Artificial intelligence and music: open questions of copyright law and engineering praxis. Arts. MDPI vol 8(3) p 115.
[11]. Ycart A and Benetos E 2017 A study on LSTM networks for polyphonic music sequence modelling. ISMIR, p 11.
[12]. Zhang R, Liu Y, and Sun H 2020 Physics-informed multi-LSTM networks for metamodeling of nonlinear structures Computer Methods in Applied Mechanics and Engineering, vol 369 p 113226.
Cite this article
Ou,B. (2023). Investigating MIDI data simplification by AI models. Applied and Computational Engineering,21,114-120.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Fulzele P, Singh R, Kaushik N, et al. 2018 A hybrid model for music genre classification using LSTM and SVM. 2018 Eleventh International Conference on Contemporary Computing (IC3). IEEE, pp 1-3.
[2]. Art & Music. The Smithsonian Institution's Human Origins Program, 19 Sept. 2022, Retrieved from: https://humanorigins.si.edu/evidence/behavior/art-music#:~:text=Making%20music%20is%20a%20universal,at%20least%2035%2C000%20years%20ago.
[3]. Avdeeff M 2019 Artificial intelligence & popular music: SKYGGE, flow machines, and the audio uncanny valley. Arts. MDPI, vol 8(4) p 130.
[4]. Computer Music (so Far). Short History of Computer Music, Retrieved from: https://artsites.ucsc.edu/EMS/Music/equipment/computers/history/history.html
[5]. Kotecha N and Young P 2018 Generating music using an LSTM network. arXiv preprint arXiv:1804.07300.
[6]. Mangal S, Modak R and Joshi P 2019 Lstm based music generation system. arXiv preprint arXiv:1908.01080.
[7]. Moffat D and Sandler M B 2019 Approaches in intelligent music production. Arts. MDPI, vol 8(4) p 125.
[8]. Saxena S 2023 Learn about Long Short-Term Memory (LSTM) Algorithms. Analytics Vidhya, 3 Mar. Retrieved from: https://www.analyticsvidhya.com/blog/2021/03/introduction-to-long-short-term-memory-lstm/.
[9]. Carnovalini F and Rodà A 2020 Computational creativity and music generation systems: An introduction to the state of the art. Frontiers in Artificial Intelligence, vol 3 p 14.
[10]. Sturm B L T, Iglesias M, Ben-Tal O, et al 2019 Artificial intelligence and music: open questions of copyright law and engineering praxis. Arts. MDPI vol 8(3) p 115.
[11]. Ycart A and Benetos E 2017 A study on LSTM networks for polyphonic music sequence modelling. ISMIR, p 11.
[12]. Zhang R, Liu Y, and Sun H 2020 Physics-informed multi-LSTM networks for metamodeling of nonlinear structures Computer Methods in Applied Mechanics and Engineering, vol 369 p 113226.