Face-zine: the Future

Research building on work of Salmon and Laurillard. The project focuses on teacher education and skills and strategies for success online

Intonation in Spanish declaratives : differences between lab speech and spontaneous speech

The present study compares the intonation of Spanish declarative utterances in lab speech and spontaneous speech. Most studies of Spanish intonation have used lab speech, collected in an experimental setting and often scripted. This allows the researcher to control many factors, but the results cannot be assumed to be representative of spontaneous speech. The present study takes the most characteristic traits of the intonation of declarative sentences in Spanish lab speech and examines whether the same traits exist in spontaneous speech. It is shown that there are notable differences between the intonation of Spanish declaratives in lab speech and spontaneous speech. While some of the differences are minor, others are quite significant. Differences of one degree or another exist in the areas of the presence of F0 rises through stressed syllables, F0 peak alignment, downstepping, final lowering and deaccenting

Reference face graph for face recognition

Face recognition has been studied extensively; however, real-world face recognition still remains a challenging task. The demand for unconstrained practical face recognition is rising with the explosion of online multimedia such as social networks, and video surveillance footage where face analysis is of significant importance. In this paper, we approach face recognition in the context of graph theory. We recognize an unknown face using an external reference face graph (RFG). An RFG is generated and recognition of a given face is achieved by comparing it to the faces in the constructed RFG. Centrality measures are utilized to identify distinctive faces in the reference face graph. The proposed RFG-based face recognition algorithm is robust to the changes in pose and it is also alignment free. The RFG recognition is used in conjunction with DCT locality sensitive hashing for efficient retrieval to ensure scalability. Experiments are conducted on several publicly available databases and the results show that the proposed approach outperforms the state-of-the-art methods without any preprocessing necessities such as face alignment. Due to the richness in the reference set construction, the proposed method can also handle illumination and expression variation

Active and passive fields face to face

The statistical properties of active and passive scalar fields transported by the same turbulent flow are investigated. Four examples of active scalar have been considered: temperature in thermal convection, magnetic potential in two-dimensional magnetohydrodynamics, vorticity in two-dimensional Ekman turbulence and potential temperature in surface flows. In the cases of temperature and vorticity, it is found that the active scalar behavior is akin to that of its co-evolving passive counterpart. The two other cases indicate that this similarity is in fact not generic and differences between passive and active fields can be striking: in two-dimensional magnetohydrodynamics the magnetic potential performs an inverse cascade while the passive scalar cascades toward the small-scales; in surface flows, albeit both perform a direct cascade, the potential temperature and the passive scalar have different scaling laws already at the level of low-order statistical objects. These dramatic differences are rooted in the correlations between the active scalar input and the particle trajectories. The role of such correlations in the issue of universality in active scalar transport and the behavior of dissipative anomalies is addressed.Comment: 36 pages, 20 eps figures, for the published version see http://www.iop.org/EJ/abstract/1367-2630/6/1/07