In this paper, we propose an end-to-end deep learning framework to detect speech paralinguistics using perception aware spectrum as input. Existing studies show that speech under cold has distinct variations of energy distribution on low frequency components compared with the speech under ‘healthy’ condition. This motivates us to use perception aware spectrum as the input to an end-to-end learn...

In this report, a novel approach to intelligence and learning is introduced; this approach is based upon what we called perception logic. What we call ‘perception automata’ is introduced in which learning is accomplished at different perception resolution. Learning in this automata is not heuristic, rather it guarantees the convergence of the approximated function to whatever precision required...

background: clinical learning is one of the important issues that helps the perception of nursing students’ practice in a clinical setting and its effect on their professional development. the aim of this study is to describe and state the manner of clinical learning in nursing students. materials and methods: this qualitative study was conducted as a grounded theory. the individual semi-struct...

Everyday experience affords us many opportunities to learn about objects through multiple senses using physical interaction. Previous work has shown that active motor learning of unisensory items enhances memory and leads to the involvement of motor systems during subsequent perception. However, the impact of active motor learning on subsequent perception and recognition of associations among m...