This work presents a new approach to discriminative speaker verification. Rather than estimating speaker models, or a model that discriminates between a speaker class and the cla...
This paper proposes a method to optimize the performance of tandem source–channel coding with respect to the mean-squared error by exploiting the unequal error protection coding...
Due to the ease with which digital information can be altered, many digital forensic techniques have recently been developed to authenticate multimedia content. One important digi...
It is well known that LDPC decoding is computationally demanding and one of the hardest signal operations to parallelize. Beyond data dependencies that restrict the decoding of a ...
This paper presents a noise estimation technique based on knowledge of pitch information for robust speech recognition. In the first stage the noise is estimated by means of extr...
Juan Andres Morales-Cordovilla, Ning Ma, Victoria ...
This paper presents a rapid voice adaptation algorithm using GMM-based frequency warping and shift with parameters of a subband basis spectrum model (SBM)[1]. The SBM parameter re...
We propose a new variational method to restore point-like and curvelike singularities in 2-D images. As points and open curves are fine structures, they are difficult to restore...
One of the most critical issues in femtocell network deployment is interference management, especially for femtocells sharing the spectrum occupied by conventional cellular networ...
Parallel computation of the adaptive lattice filtering algorithm is difficult due to the dependency problem caused by feedback operations. The conventional control-level paralle...
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor