4 accepted papers
We propose a methodology to carry out vertex-frequency analyses of graph signals, with the goal of unveiling the signal's frequency occupancy over a localized region in the network. To this end, we first introduce localized graph signals in the vertex domain, by defining windows that are localized a…
We address the problem of constructing a graph Fourier transform (GFT) for both undirected and directed graphs (digraphs), which decomposes graph signals into different modes of variation with respect to the underlying network. Accordingly, we seek orthonormal bases that yield maximally-spread frequ…
In this paper, we present an approach for minimizing human effort in manual speaker annotation. Label propagation is used at each iteration of an active learning cycle. More precisely, a selection strategy for choosing the most suitable speech track to be labeled is proposed. Four different selectio…
This paper presents the first version of a speaker verification spoofing and anti-spoofing database, named SAS corpus. The corpus includes nine spoofing techniques, two of which are speech synthesis, and seven are voice conversion. We design two protocols, one for standard speaker verification evalu…