Design of an Improvisational Singing Training System Based on Machine Learning Algorithms
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1983-9_19
Reference18 articles.
1. Frisk H (2020) Aesthetics, interaction and machine improvisation. Org Sound 25(1):33–40
2. Philip TM (2019) Principled improvisation to support novice teacher learning. Teach Coll Rec 121(6):1–32
3. Cass S (2019) Illuminating musical code: program an electronic music performance in real time—[Resources_Hands On]. IEEE Spectr 56(9):14–15
4. O’Toole J, Gong Y, Baker T et al (2021) Startup responses to unexpected events: the impact of the relative presence of improvisation. Organ Stud 42(11):1741–1765
5. Rabanaque MP, Calle M, Benito G et al (2022) Basin-wide hydromorphological analysis of ephemeral streams using machine learning algorithms? Earth Surf Process Landf 47(1):328–344
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