Please use this identifier to cite or link to this item:
|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|
|Publisher:||IEEE Computer Society|
|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.|
|Appears in Collections:||Artículos de investigación|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.