We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
The motivation for this study is the need for careful analysis of aperiodicity of the excitation component in expressive voices. The paper proposes analysis methods which can pres...
Bayya Yegnanarayana, Anand Joseph Xavier Medabalim...
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...
In this paper, we propose examining the participants in various meetings or communications within a social network, and using sequential inference based on these participant lists...
It is now well known that time invariant (TI) linear beamformers, such as the Capon’s beamformer, are only optimal for stationary Gaussian observations whose complex envelope is...
Pascal Chevalier, Abdelkader Oukaci, Jean Pierre D...