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Real-time visual feedback technology in support of a didactic voice tuning system

dc.contributor.authorTeixeira, João Paulo
dc.contributor.authorLeão, Izabela Ribeiro
dc.date.accessioned2024-02-20T14:40:48Z
dc.date.available2024-02-20T14:40:48Z
dc.date.issued2023
dc.description.abstractPitch training is an important exercise for classical singers. This paper presents a Visual Feedback Technology (VFT) time system to improve pitch tuning. The objective is to present the developed helpful tool that allows in a didactic way to tune the voice and show the user the error due to the comparison between the voice produced and the target frequency of the notes along the melody. The voice signal acquisition system and fundamental frequency fo detection uses the autocorrelation method with center-clipping and compares it with the frequency of each note in different applications. The system allows the training using ascending or descending sequential notes, allows the training with a pre-existing melody, and allows to build of a new melody. It permits the identification of the adequate scale for the practitioner and the selection of the adequate scale for each practitioner. As for the results evaluation, the pitch training evolution of an experienced singer and another person without singing experience evidences the efficiency of the Voice Tuning System. The system was also evaluated by a questionary with all heuristics in the first upper quartile.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTeixeira, João Paulo; Leão, Izabela Ribeiro (2023). Real-time visual feedback technology in support of a didactic voice tuning system. In International Conference in Information Technology and Education (ICITED). ISSN 2190-3018. 366, p. 471-481pt_PT
dc.identifier.doi10.1007/978-981-99-5414-8_43pt_PT
dc.identifier.issn2190-3018
dc.identifier.urihttp://hdl.handle.net/10198/29560
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationLA/P/0007/2021pt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVoice tuningpt_PT
dc.subjectVisual feedback technologypt_PT
dc.subjectAutocorrelationpt_PT
dc.subjectFundamental frequencypt_PT
dc.titleReal-time visual feedback technology in support of a didactic voice tuning systempt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.endPage481pt_PT
oaire.citation.startPage471pt_PT
oaire.citation.titleInternational Conference in Information Technology and Education (ICITED)pt_PT
oaire.citation.volume366pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameTeixeira
person.givenNameJoão Paulo
person.identifier663194
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id57069567500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
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