We address the problem of speaker age estimation using ivectors. We first compare different i-vector extraction setups and then focus on (shallow) artificial neural net (ANN) backends. We explore ANN architecture, training algorithm and ANN ensembles. The results on NIST 2008 and 2010 SRE data indicate that, after extensive parameter optimization, ANN back-end in combination with i-vectors reaches mean absolute errors (MAEs) of 5.49 (females) and 6.35 (males), which are 4.5% relative improvement in comparison to our support-vector regression (SVR) baseline. Hence, the choice of back-end did not affect the accuracy much; a suggested future direction is therefore focusing more on front-end processing.
A new method of constructing nonparametric dynamic model of the human oculomotor system on the basis of experimental data "input-output". This takes into account nonlinear and inertial properties of the eye of the rectus muscles. A technology for tracking eye movement based on the videos. It is possible to determine the dynamic characteristics of the oculomotor system functions as a transition of the first and second order-integral transforms Volterra kernels. Refs: 14 titles.
The article presents 15 years of the authors experience in the development and implementation in expert practice of the methods of obtaining and analyzing digital 2D and 3D images. Presents an original device and the method of obtaining 3D images. Proposed cooperation in the use and improvement of the methodology. Analyzed the main differences of the proposed method from virtopsy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.