Designing and Building a 1st stage dataset for embodied music-making (musicking).
| dc.cclicence | CC-BY-NC | en |
| dc.contributor.author | Vear, Craig | |
| dc.date.accessioned | 2020-07-09T10:59:30Z | |
| dc.date.available | 2020-07-09T10:59:30Z | |
| dc.date.issued | 2020-06-01 | |
| dc.description.abstract | The aim of this research project was to design and develop a dataset that captured embodied music-making (hereafter musicking (Small 1989)) for use in human-computer interaction between AI and human musicians. The proposed solution to this challenge was to capture embodied musicking through data harvesting of physical and sonic elements from a musician embodied in the flow of musicking. This report describes the small-scale, first stage proof-of- concept design, development and deployment of such a system. The hard question here was to develop a dataset that could inform perception of music-AI so that it could co-create within the realtime flow of musicking with other machines and/or human musicians. The results highlight the importance that any modes of capture other than real-world musicking, would be a setup for failure. | en |
| dc.funder | No external funder | en |
| dc.identifier.citation | Vear, C., (2018) Designing and Building a 1st stage dataset for embodied music-making (musicking). Available online: https://fbf4c877-a633-43a6-a8f8-182ae6c0f74b.filesusr.com/ugd/9a47a8_bf85e2bac03a45a8b2563d23b26349d9.pdf | en |
| dc.identifier.uri | https://fbf4c877-a633-43a6-a8f8-182ae6c0f74b.filesusr.com/ugd/9a47a8_bf85e2bac03a45a8b2563d23b26349d9.pdf | |
| dc.identifier.uri | https://dora.dmu.ac.uk/handle/2086/19974 | |
| dc.language.iso | en | en |
| dc.peerreviewed | No | en |
| dc.researchinstitute | Institute of Creative Technologies (IOCT) | en |
| dc.subject | creative ai | en |
| dc.subject | embodied intelligence | en |
| dc.title | Designing and Building a 1st stage dataset for embodied music-making (musicking). | en |
| dc.type | Working Paper | en |
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