Non-verbal speech cues such as laughter and fillers, which are collectively called social signals, play an important role in human communication. Therefore, detection of them would be useful for dialogue systems to infer speaker’s intentions, emotions and engagements. The conventional approaches are based on frame-wise classifiers, which require precise time-alignment of these events for traini...

In traditional sparse modeling, it is assumed that a signal/feature/image can be either accurately or approximately represented by a sparse linear combination of atoms from a learned dictionary. Structured sparsity, which is beyond traditional sparse modeling, addresses collaborative structured sparsity to add stability and prior information to the representation. Specifically, in structured sp...

60GHz communication occupies huge transmission bandwidth and presents a diffuse multipath transmission characteristic, so there is a certain complexity in channel estimation. This paper using actual 60GHz-HSI-OFDM system model and realistic 60GHz channel model, presents the estimation scheme based on training sequence and pilot signal respectively. 60GHz channel usually belongs to time-invarian...

today, students spend only 10 percent of their time in training centers and the major part of their time is spent in home, society and other places. however, significant events happen in this limited time. in addition to training and learning, they are prepared and educated to interact with society. education is an important issue in global educating and training systems. there are different ap...

Neural network (NN) based voice conversion, which employs a nonlinear function to map the features from a source to a target speaker, has been shown to outperform GMM-based voice conversion approach [4-7]. However, there are still limitations to be overcome in NN-based voice conversion, e.g. NN is trained on a Frame Error (FE) minimization criterion and the corresponding weights are adjusted to...

BACKGROUND The accuracy and reproducibility of medical skills assessment is generally low. Rater training has little or no effect. Our knowledge in this field, however, relies on studies involving video ratings of overall clinical performances. We hypothesised that a rater training focussing on the frame of reference could improve accuracy in grading the curricular assessment of a highly standa...

Recent efforts to improve medical education include adopting a new framework based on 6 broad competencies defined by the Accreditation Council for Graduate Medical Education. In this article, the Alliance for Academic Internal Medicine Education Redesign Task Force II examines the advantages and challenges of a competency-based educational framework for medical residents. Efforts to refine spe...

Event-based cameras have shown great promise in a variety of situations where frame based cameras suffer, such as high speed motions and high dynamic range scenes. However, developing algorithms for event measurements requires a new class of hand crafted algorithms. Deep learning has shown great success in providing model free solutions to many problems in the vision community, but existing net...

In this paper a comprehensive approach is presented to improve power swings damping based on direct Lyapunov method. The approach combines superconducting magnetic energy storage (SMES) system with static synchronous compensator (STATCOM). Considering the energy absorption/injection ability of SMES, in transient states the combination exchanges both active and reactive powers with power system....

The shot boundary detection system we are using for 2006 builds on the framework and system developed in 2004 and 2005 which combines pairwise similarity analysis and supervised classification. Using primitive low-level image features, we build secondary features based on inter-frame dissimilarity. These secondary features are used as input to an efficient k-Nearest-Neighbor (kNN) classifier. T...