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dc.contributor.authorLutgardo, Melissa*
dc.contributor.authorLópez, Gianfranco*
dc.contributor.authorDel Carpio, Christian*
dc.creatorUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.date.accessioned2016-04-25T20:52:35Zes_PE
dc.date.available2016-04-25T20:52:35Zes_PE
dc.date.issued2015-09es_PE
dc.identifier.urihttp://hdl.handle.net/10757/607076es_PE
dc.descriptionEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicadoes_PE
dc.description2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA 2015). Evento realizado el 2-4 September 2015, Bogota, Colombia.es_PE
dc.description.abstractThe main objective of this work is to present the procedure of development of a software solution, oriented to support the teaching, training and improvement of vocal techniques in the tenor vocal range, by using digital signal processing. It also attempts to expose the importance of the signal processing tools used to estimate vocal parameters, which allow the software to determine the presence of incorrect voice emission or the degradation of sound quality.
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherSignal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium ones_PE
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_PE
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.sourceRepositorio Académico - UPCes_PE
dc.subjectOmputer based traininges_PE
dc.subjectSpeech processinges_PE
dc.titleDevelopment of a digital signal processing software oriented to support the teaching, training and improvement of vocal technics in the tenor vocal rangees_PE
dc.typeinfo:eurepo/semantics/conferenceObjectes_PE
dc.description.peer-reviewRevisión por pareses_PE
html.description.abstractThe main objective of this work is to present the procedure of development of a software solution, oriented to support the teaching, training and improvement of vocal techniques in the tenor vocal range, by using digital signal processing. It also attempts to expose the importance of the signal processing tools used to estimate vocal parameters, which allow the software to determine the presence of incorrect voice emission or the degradation of sound quality.


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