Voice compression using discrete cosine transform and wavelet transform

datacite.rightshttp://purl.org/coar/access_right/c_abf2
dc.contributor.editorSuarez E.G.
dc.contributor.editorDiaz B.Z.
dc.contributor.editorNino E.D.V.
dc.creatorRolon-Heredia J.A.
dc.creatorGarrido Arévalo, Víctor Manuel
dc.creatorMarulanda J.
dc.date.accessioned2020-03-26T16:41:23Z
dc.date.available2020-03-26T16:41:23Z
dc.date.issued2019
dc.description.abstractCompressing information, such as voice, allows freeing up memory space, better utilizing bandwidth, in other words taking advantage of resources more efficiently in a time where technologies such as Voice over Internet Protocol are booming and the demand for information it requires higher speeds and quality. Therefore, this paper presents the acquisition and digital processing of voice signals, as well as the application of the discrete cosine transform and the wavelet transform using Matlab software version 2017b, licensed by the Technological University of Bolivar. Likewise, a criterion is established in order to eliminate little relevant information without affecting the quality of the output signal for which indicators such as the signal to noise ratio and the mean square error are calculated. © Published under licence by IOP Publishing Ltd.eng
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.identifier.citationRolon-Heredia J.A., Garrido-Arevalo V.M. y Marulanda J. (2019) Voice compression using discrete cosine transform and wavelet transform. Journal of Physics: Conference Series; Vol. 1403, Núm. 1
dc.identifier.doi10.1088/1742-6596/1403/1/012001
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.issn17426588
dc.identifier.orcid57212451504
dc.identifier.orcid57212456661
dc.identifier.orcid57205051983
dc.identifier.reponameRepositorio UTB
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9232
dc.language.isoeng
dc.publisherInstitute of Physics Publishing
dc.relation.conferencedate20 August 2019 through 21 August 2019
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85076680661&doi=10.1088%2f1742-6596%2f1403%2f1%2f012001&partnerID=40&md5=8c438b85ddd01ac34924b3d5f18fa115
dc.sourceScopus2-s2.0-85076680661
dc.source.event1st Workshop on Modeling and Simulation for Science and Engineering, WMSSE 2019
dc.subject.keywordsApplication programs
dc.subject.keywordsDiscrete cosine transforms
dc.subject.keywordsMATLAB
dc.subject.keywordsMean square error
dc.subject.keywordsSignal to noise ratio
dc.subject.keywordsVoice/data communication systems
dc.subject.keywordsMatlab- software
dc.subject.keywordsMemory space
dc.subject.keywordsOutput signal
dc.subject.keywordsVoice compression
dc.subject.keywordsVoice over Internet protocol
dc.subject.keywordsVoice signals
dc.subject.keywordsWavelet transforms
dc.titleVoice compression using discrete cosine transform and wavelet transform
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.spaConferencia
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oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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