| dc.contributor.author | Colton, S | |
| dc.contributor.author | Bradshaw, L | |
| dc.contributor.author | Banar, B | |
| dc.contributor.author | Bhandari, K | |
| dc.contributor.author | International Conference on Computational Creativity (ICCC) | |
| dc.date.accessioned | 2024-07-05T10:15:09Z | |
| dc.date.available | 2024-06-01 | |
| dc.date.available | 2024-07-05T10:15:09Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/97861 | |
| dc.description.abstract | We describe an approach to the automatic generation of short piano compositions known as miniatures. At the heart of this is a transformer model which produces expressive performances of miniatures which are then transcribed into score form and edited. We present a pilot study to investigate the quality of the outputs and provide an illustrative example. We further look at the bigger picture of whether generative AI systems such as ours can add to musical culture. | en_US |
| dc.publisher | International Conference on Computational Creativity (ICCC) | en_US |
| dc.title | Automatic Generation of Expressive Piano Miniatures | en_US |
| dc.type | Conference Proceeding | en_US |
| dc.rights.holder | © 2024, The Author(s) | |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Accepted | en_US |
| pubs.publisher-url | https://computationalcreativity.net/iccc24/full-papers/ICCC24_paper_178.pdf | en_US |
| dcterms.dateAccepted | 2024-06-01 | |
| rioxxterms.funder | Default funder | en_US |
| rioxxterms.identifier.project | Default project | en_US |
| qmul.funder | UKRI Centre for Doctoral Training in Artificial Intelligence and Music::Engineering and Physical Sciences Research Council | en_US |
