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Robust Voice Activity Detection Algorithm using Spectrum Estimation and Dynamic Thresholding
Universidad Católica San Pablo.ORCID iD: 0000-0001-8460-6509
Universidad Católica San Pablo.
2009 (English)In: 2009 IEEE LATIN-AMERICAN CONFERENCE ON COMMUNICATIONS (LATINCOM 2009) / [ed] CE Velasquez, 2009, 272-276 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2009. 272-276 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-46698DOI: 10.1109/LATINCOM.2009.5304908ISI: 000274787200048OAI: oai:DiVA.org:kth-46698DiVA: diva2:453937
Conference
IEEE Latin-American Conference on Communications. Medellin, COLOMBIA. SEP 10-11, 2009
Note
QC 20111104Available from: 2011-11-04 Created: 2011-11-04 Last updated: 2011-11-21Bibliographically approved

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Zenteno, Efrain

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