In this paper, we investigate the use of brain activity for person authentication. It has been shown in previous studies that the brain-wave pattern of every individual is unique and that the electroencephalogram (EEG) can be used for biometric identification. EEG-based biometry is an emerging research topic and we believe that it may open new research directions and applications in the future....

This contribution presents two spectral amplitude estimators for acoustical background noise suppression based on maximum a posteriori estimation and super-Gaussian statistical modelling of the speech DFT amplitudes. The probability density function of the speech spectral amplitude is modelled with a simple parametric function, which allows a high approximation accuracy for Laplaceor Gamma-dist...

ESTIMATION WITH SUPERGAUSSIAN SPEECH MODELING Thomas Lotter and Peter Vary Institute of Communication Systems and Data Processing ( ) Aachen University (RWTH), Templergraben 55, D-52056 Aachen, Germany E-mail: lotter vary @ind.rwth-aachen.de ABSTRACT This contribution presents a spectral amplitude estimator for acoustical background noise suppression based on maximum a posteriori estimation and...

This paper proposes a constrained structural maximum a posteriori linear regression (CSMAPLR) algorithm for further improvement of speaker adaptation performance in HMM-based speech synthesis. In the algorithm, the concept of structural maximum a posteriori (SMAP) adaptation is applied to estimation of transformation matrices of the constrained MLLR (CMLLR), where recursive MAP-based estimation...

In many estimation problems, the set of unknown parameters can be divided into a subset of desired parameters and a subset of nuisance parameters. Using a maximum a posteriori (MAP) approach to parameter estimation, these nuisance parameters are integrated out in the estimation process. This can result in an extremely computationally-intensive estimator. This paper proposes a method by which co...

Abstract In a posteriori error analysis, the relationship between and estimator is usually spoiled by so-called oscillation terms, which cannot be bounded error. order to remedy, we devise new approach where has following two properties. First, it dominated error, irrespective of mesh fineness regularity data exact solution. Second, captures in terms part residual that, general, quantified with...