2016-05-1120161742-6596http://hdl.handle.net/10784/8373A simple but efficient voice activity detector based on the Hilbert transform and a dynamic threshold is presented to be used on the pre-processing of audio signals -- The algorithm to define the dynamic threshold is a modification of a convex combination found in literature -- This scheme allows the detection of prosodic and silence segments on a speech in presence of non-ideal conditions like a spectral overlapped noise -- The present work shows preliminary results over a database built with some political speech -- The tests were performed adding artificial noise to natural noises over the audio signals, and some algorithms are compared -- Results will be extrapolated to the field of adaptive filtering on monophonic signals and the analysis of speech pathologies on futures worksapplication/pdfengTransformada de HilbertCancelación de ruidosSeñal monofónicainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessPROCESAMIENTO DE SEÑALESPROCESAMIENTO DE SEÑALES - TÉCNICAS DIGITALESMEDICIÓN DEL RUIDOFILTROS ADAPTIVOSANÁLISIS DE FOURIERTEORÍA ESPECTRAL (MATEMÁTICAS)ANÁLISIS ESPECTRALPROCESOS DE GAUSSUMBRAL AUDITIVOSignal processingSignal processing - Digital techniquesNoise - MeasurementAdaptive filtersFourier analysisSpectral theory (mathematics)Spectrum analysisGaussian processesAuditory thresholdSignal processingSignal processing - Digital techniquesNoise - MeasurementAdaptive filtersFourier analysisSpectral theory (mathematics)Spectrum analysisGaussian processesAuditory thresholdTransformada de HilbertCancelación de ruidosSeñal monofónicaAcceso abierto2016-05-11Creative Commons Attribution 3.0 licence (CC BY 3.0)Ortiz P., D.Villa, Luisa F.Salazar, CarlosQuintero, O.L.Ortiz P., D.Villa, Luisa F.Salazar, CarlosQuintero, O.L.10.1088/1742-6596/705/1/012037