—We present a probabilistic framework for physical layer secrecy when the locations and channels of the eavesdroppers are unknown. The locations are modeled by a Poisson point pr...
Data imputation approaches for robust automatic speech recognition reconstruct noise corrupted spectral information by exploiting prior knowledge of the relationship between targe...
In this paper we present a number of improvements that were recently made to the template based speech recognition system developed at ESAT. Combining these improvements resulted ...
Kris Demuynck, Dino Seppi, Hugo Van hamme, Dirk Va...
This paper is concerned with the estimation of the directionsof-arrival (DOA) of narrowband sources using a sparse spatial spectral model, when the model itself is not precise. Wh...
In this paper, a Successive Interference Cancellation (SIC) receiver typically used for Code Division Multiple Access (CDMA) communications is developed to be used as piano chord ...
Ana M. Barbancho, Isabel Barbancho, Beatriz Soto, ...
In this paper, we consider the problem of separating a set of independent components when only one movable sensor is available to record the mixtures. We propose to exploit the qu...
Improving on recent work on joint source-filter analysis of speech waveforms, we explore improvements to an autoregressive model with exogenous inputs represented by flexible ba...
In Cognitive Radio (CR) systems, spectrum sensing plays a key role to determine the free frequency bands. However, when the primaryuser (PU) signal spectrum exhibits localized fad...
The paper addresses content-based image retrieval from texture databases, by using stochastic modeling in the wavelet domain. It proposes an analysis of the key parameters involve...
We present a new wideband spectral envelope estimation framework for the artificial bandwidth extension problem. The proposed framework builds temporal clusters of the joint sub-...