Computer-aided musical orchestration using an artificial immune system
Computer-aided musical orchestration using an artificial immune system
dc.contributor.author | Abreu,J | en |
dc.contributor.author | Marcelo Freitas Caetano | en |
dc.contributor.author | Rui Penha | en |
dc.date.accessioned | 2017-12-13T13:05:16Z | |
dc.date.available | 2017-12-13T13:05:16Z | |
dc.date.issued | 2016 | en |
dc.description.abstract | The aim of computer-aided musical orchestration is to find a combination of musical instrument sounds that approximates a target sound. The difficulty arises from the complexity of timbre perception and the combinatorial explosion of all possible instrument mixtures. The estimation of perceptual similarities between sounds requires a model capable of capturing the multidimensional perception of timbre, among other perceptual qualities of sounds. In this work, we use an artificial immune system (AIS) called opt-aiNet to search for combinations of musical instrument sounds that minimize the distance to a target sound encoded in a fitness function. Opt-aiNet is capable of finding multiple solutions in parallel while preserving diversity, proposing alternative orchestrations for the same target sound that are different among themselves. We performed a listening test to evaluate the subjective similarity and diversity of the orchestrations. © Springer International Publishing Switzerland 2016. | en |
dc.identifier.uri | http://repositorio.inesctec.pt/handle/123456789/3984 | |
dc.identifier.uri | http://dx.doi.org/10.1007/978-3-319-31008-4_1 | en |
dc.language | eng | en |
dc.relation | 5997 | en |
dc.relation | 6065 | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.title | Computer-aided musical orchestration using an artificial immune system | en |
dc.type | conferenceObject | en |
dc.type | Publication | en |
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