The perception of rhythmic differences among languages relies on varieties in periodicity within prominence groups. But the consensus in phonetic research on rhythm is that existing measures don’t capture true rhythm by that definition instead, they merely measure short-term timing. This work proposes a new rhythm measure, the Generalized Variability Index (GVI), that examines durational contex...

A methodology for automatic identification and segmentation of white matter hyper-intensities appearing in magnetic resonance images of brain axial cuts is presented. To this end, a sequence of image processing technics is employed to form an image where the hyper-intensities in white matter differ notoriously from the rest of the objects. This pre-processing stage facilitates the posterior pro...

In this article, we propose a new feature which could be used for the framework of SVM-based language recognition, by introducing the idea of total variability used in speaker recognition to language recognition. We consider the new feature as low-dimensional representation of Gaussian mixture model supervector. Thus we propose multiple total variability (MTV) language recognition system based ...

1 Pós-graduação em Engenharia Elétrica, Escola de Engenharia, Universidade Presbiteriana Mackenzie, Rua da Consolação, n.896, 01302-907 São Paulo, SP, Brazil 2 Departamento de Engenharia de Telecomunicações e Controle, Escola Politécnica, Universidade de São Paulo, Avendia Professor Luciano Gualberto, travessa 3, n.380, 05508-900 São Paulo, SP, Brazil 3 Departamento de Fisiologia, Instituto de ...

This paper proposes Universal Background Model (UBM) fusion in the framework of total variability or i-vector modeling with the application to language identification (LID). The total variability subspace which is typically exploited to discriminate between the language classes of different speech recordings, is trained by combining the normalized Baum-Welch statistics of multiple UBMs. When th...

This paper presents a new approach to reduce the dimensionality of Phone Log likelihood Ratio (PLLR) features, which have been shown to be effective for language recognition, by removing the likelihoods corresponding to less frequent phonemes. In this work, phoneme frequencies are estimated using a suitable phoneme recogniser. Following this, an i-vector framework is used to represent the total...

Regulation of hemodynamic parameters is a challenging problem, due to interand intra-patient variability, drug interactions, evolving patient condition, and in the case of simultaneous control of mean arterial pressure and cardiac output, tight coupling between the two variables. This requires a controller that can adapt to conditions as they evolve, and without the need to tune the controller ...

The purpose of this paper is threefold. Firstly, it is to establish that contrary to what might be expected, the accuracy of well known and frequently used asymptotic variance results can depend on choices of fixed poles or zeros in the model structure. Secondly, it is to derive new variance expressions that can provide greatly improved accuracy while also making explicit the influence of any f...

In this paper we propose an e cient iconic indexing strategy called Unique ID based Ma trix UID Matrix for symbolic pictures in which each spatial relationship between any two objects is assigned with a unique identi er ID and is recorded in a matrix Basically the proposed strategy can represent those complex relationships that are represented in D C strings in a matrix and an e cient range che...

This paper presents the results obtained in the development of an adaptive architecture for automated event discovery in sub-sea recorded video footage. The Video Marking System that has been built is the first step of the development of a vision system for an autonomous underwater vehicle. The principal aim of our work is to build an adaptive architecture that provides the vision system with t...