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This a Matlab code for Voice Activity Detection (VAD). The "HOWTO_VAD.m" script gives an example on how to use the package. It builds upon "VAD_Drugman.m" which provides the posterior probability of voice activity, using any of 3 feature sets independently, or combining them in a decision fusion strategy. These 3 feature sets are: MFCCs, 4 voicing measurements proposed in Sadjadi's paper in SPL 2013 (see reference below), and 3 new proposed source-related features. According to our experiments, the combined decisions (called "Outs_Final" in the code), provides the best results. All details are provided in the paper: T.Drugman, Y. Stylianou, "Voiced Activity Detection: Merging Source and Filter- based Information", IEEE Signal Processing Letters, 2015. These features are also the basis of: T. Drugman, Y. Stylianou, L. Chen, X. Chen, M. Gales, Robust Excitation-based Features for Automatic Speech Recognition, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 Please refer to these papers in your publication. Sadjadi's features are described in: S.O. Sadjadi, J. Hansen: "Unsupervised Speech Activity Detection Using Voicing Measures and Perceptual Spectral Flux", IEEE Sig. Pro. Letters, vol. 20, pp. 197-200, 2013. % Copyright (c) 2014 Toshiba Cambridge Research Laboratory % % License % This code will be part of the GLOAT toolbox % (http://tcts.fpms.ac.be/~drugman/Toolbox/) % with the following licence: % This program is free software: you can redistribute it and/or modify % it under the terms of the GNU General Public License as published by % the Free Software Foundation, either version 3 of the License, or % (at your option) any later version. % This program is distributed in the hope that it will be useful, % but WITHOUT ANY WARRANTY; without even the implied warranty of % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the % GNU General Public License for more details. % % This function will also be part of the Covarep project: % http://covarep.github.io/covarep % % Author % Thomas Drugman firstname.lastname@example.org