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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15904
Title: Robust voice activity detection algorithm using spectrum estimation and dynamic thresholding
Authors: Zenteno Bolaños, Efrain
Sotomayor Polar, Manuel Gustavo
Keywords: Signal detection;Spectrum analysis;Speech recognition;Dynamic thresholding;Noise floor;Real time;Short time Fourier transforms;Spectrum estimation;Voice activity detection;Voice activity detection algorithms;Signal to noise ratio
Issue Date: 2009
Publisher: IEEE Computer Society
metadata.dc.relation.uri: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70649084304&doi=10.1109%2fLATINCOM.2009.5304908&partnerID=40&md5=952276235657c495f3b7221b321fba89
Abstract: An 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.
URI: http://repositorio.ucsp.edu.pe/handle/UCSP/15904
ISBN: 9781424443888
Appears in Collections:Artículos de investigación

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