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Interactive Musical Setting with Deep Learning and Object Recognition

2020Conference object Open access
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dc.contributor.authorCardoso, Mário
dc.contributor.authorLopes, Rui Pedro
dc.date.accessioned2023-03-21T11:35:12Z
dc.date.available2023-03-21T11:35:12Z
dc.date.issued2020
dc.description.abstractThe SeMI - Interactive Musical Setting, explores the possibilities of joining machine learning, the physical and the sound world. In this context, a machine learning algorithm and model was used to identify physical objects through image processing. Each physical object is associated with a student’s produced musical texture that starts playing when the object is recognized by the device. This allows defining use cases in which students have to develop diverse although interrelated sound textures and combine them with a physical world, in both a fake orchestra, that reacts to people and objects in front of it, and mood rooms, for example. The application was developed for iPad and iPhone, using Swift programming language and the iOS operating system and used in the classes of the masters on Teaching of Musical Education in the Basic School.pt_PT
dc.description.sponsorshipThis work has been supported by FCT -Fundacao para a Ciencia e Tecnologia within the Project Scope: UIDB/05757/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCardoso, Mário; Lopes, Rui Pedro (2020). Interactive Musical Setting with Deep Learning and Object Recognition. In Proceedings of the 12th International Conference on Computer Supported Education. Electronic Network: SCITEPRESS. p. 663-667. ISBN 978-989-758-417-6pt_PT
dc.identifier.doi10.5220/0009856406630667pt_PT
dc.identifier.isbn978-989-758-417-6
dc.identifier.urihttp://hdl.handle.net/10198/27896
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSCITEPRESSpt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectDeep Learningpt_PT
dc.subjectObject Recognitionpt_PT
dc.subjectMusical Settingpt_PT
dc.subjectMusical Texturespt_PT
dc.subjectMusical Educationpt_PT
dc.subjectResearch Subject Categories::SOCIAL SCIENCES::Social sciences::Educationpt_PT
dc.titleInteractive Musical Setting with Deep Learning and Object Recognitionpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceElectronic Networkpt_PT
oaire.citation.endPage667pt_PT
oaire.citation.startPage663pt_PT
oaire.citation.title12th International Conference on Computer Supported Education (CSEDU 2020)pt_PT
oaire.citation.volume1pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCardoso
person.familyNameLopes
person.givenNameMário
person.givenNameRui Pedro
person.identifier.ciencia-id8E14-54E4-4DB5
person.identifier.orcid0000-0003-3645-9641
person.identifier.orcid0000-0002-9170-5078
person.identifier.scopus-author-id57194467074
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationdc097bd8-7fd3-4016-b141-59759b0cea31
relation.isAuthorOfPublicatione1e64423-0ec8-46ee-be96-33205c7c98a9
relation.isAuthorOfPublication.latestForDiscoverye1e64423-0ec8-46ee-be96-33205c7c98a9
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublication.latestForDiscovery6e01ddc8-6a82-4131-bca6-84789fa234bd

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