Research output per year
Research output per year
Research output
- 1 Conference contribution book
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Convolutional Generative Adversarial Network, via Transfer Learning, for traditional Scottish music generation
Marchetti, F., Wilson, C., Powell, C., Minisci, E. & Riccardi, A., 17 May 2021, Artificial Intelligence in Music, Sound, Art and Design: 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings. Romero, J., Martins, T. & Rodríguez-Fernández, N. (eds.). Cha, Switzerland: Springer, Vol. 12693. 16 p. (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Datasets
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Data for: "Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation"
Marchetti, F. (Creator), Wilson, C. (Creator), Powell, C. (Creator), Minisci, E. (Creator) & Riccardi, A. (Creator), University of Strathclyde, 25 Mar 2021
DOI: 10.15129/4ae2eb7e-678d-4644-90ad-1cf2a953287f, http://www.evostar.org/2021/evomusart/
Dataset