Deception dectection is one of the most difficult problems in affect recognition and expression research area. Recently, non-verbal methods of detecting deception have appeared to be promising. Thomas[1] presented a proof-of-concept study based on the blob analysis of some suspects’ interviews and mock experiments video clips. In this paper, we present our recent research work in the direction ...

background: previous studies have shown that interaural-time-difference (itd) training can improve localization ability. surprisingly little is, however, known about localization training vis-à-vis speech perception in noise based on interaural time difference in the envelope (itd env). we sought to investigate the reliability of an itd env-based training program in speech-in-noise perception a...

Recently, attempts have been made to remove Gaussian mixture models (GMM) from the training process of deep neural network-based hidden Markov models (HMM/DNN). For the GMM-free training of a HMM/DNN hybrid we have to solve two problems, namely the initial alignment of the frame-level state labels and the creation of context-dependent states. Although flat-start training via iteratively realign...

Large-scale data resources needed for progress toward natural language understanding are not yet widely available and typically require considerable expense and expertise to create. This paper addresses the problem of developing scalable approaches to annotating semantic frames and explores the viability of crowdsourcing for the task of frame disambiguation. We present a novel supervised crowds...

in this paper we introduce and study besselian $g$-frames. we show that the kernel of associated synthesis operator for a besselian $g$-frame is finite dimensional. we also introduce $alpha$-dual of a $g$-frame and we get some results when we use the hilbert-schmidt norm for the members of a $g$-frame in a finite dimensional hilbert space.

ERS-1/2 tandem coherence is known to allow forest stem volume mapping with reasonable accuracy. Largescale forest mapping, however, is hindered by the variability of coherence with meteorological, environmental and orbital acquisition conditions. The traditional way of stem volume retrieval is based on the training of models, relating coherence to stem volume, using forest inventory which is ge...

this paper presents an overview of model updating and particularly its application for updating of frame model. in this article a mathematical model of the frame was produced with finite element method. the frame was subjected to hammer modal testing. then the results of the modal testing were compared with those predicted with the model. this comparison revealed discrepancies between these two...