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Titlebook: Speech and Computer; 17th International C Andrey Ronzhin,Rodmonga Potapova,Nikos Fakotakis Conference proceedings 2015 Springer Internation

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Automatic Classification and Prediction of Attitudes: Audio - Visual Analysis of Video Blogs3 different attitudinal states of the speakers. Following that, we extracted and analysed prosodic and visual features relevant to the classification task. We use machine learning methods and techniques to attain better understanding of the feature sets and their contribution to the prediction model.
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s, surface irregularities, minority carrier lifetime, and resistivity variations as well as gross device defects. Generally, in this type of measurement, the beam is scanned across the surface to generate hole-electron pairs in the material. For the standard configuration, a junction near the surfac
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ons build up that lead to the formation of slip bands that appear on the surface of the material. These slip bands act as stress concentrators for the origination of microcracks, which can grow under fatigue loading and lead to a catastrophic fracture of the material [1]. In the last few decades, ma
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Irina Kipyatkova,Alexey Karpov the correlation is only tedious, not hard. In this talk the basic difficulty in the inverse problem field will be illustrated by two examples: finding grain size in metals when ultrasonic attenuation is measured, and finding graphite shape in cast iron when ultrasonic velocity is measured..The basi
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