Robust voice activity detection algorithm using spectrum estimation and dynamic thresholding

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dc.contributor.authorZenteno Bolaños, Efrain
dc.contributor.authorSotomayor Polar, Manuel Gustavo
dc.date.accessioned2019-01-29T22:19:56Z
dc.date.available2019-01-29T22:19:56Z
dc.date.issued2009
dc.description.abstractAn algorithm for voice activity detection (VAD) is presented in this paper, it uses the classical short time fourier transform (STFT) followed by dynamic thresholding over the noise floor which allows accurate determination for voiced/unvoiced frame. This algorithm has also been implemented in a DSP plataform to evaluate its performance in real time, where results have shown that such method presents accurate voiced/unvoiced determination under unknown signal to noise ratio (SNR) conditions. © 2009 IEEE.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1109/LATINCOM.2009.5304908es_PE
dc.identifier.isbnurn:isbn:9781424443888es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15904
dc.language.isoenges_PE
dc.publisherIEEE Computer Societyes_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-70649084304&doi=10.1109%2fLATINCOM.2009.5304908&partnerID=40&md5=952276235657c495f3b7221b321fba89es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectSignal detectiones_PE
dc.subjectSpectrum analysises_PE
dc.subjectSpeech recognitiones_PE
dc.subjectDynamic thresholdinges_PE
dc.subjectNoise floores_PE
dc.subjectReal timees_PE
dc.subjectShort time Fourier transformses_PE
dc.subjectSpectrum estimationes_PE
dc.subjectVoice activity detectiones_PE
dc.subjectVoice activity detection algorithmses_PE
dc.subjectSignal to noise ratioes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.01es_PE
dc.titleRobust voice activity detection algorithm using spectrum estimation and dynamic thresholdinges_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
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