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

Reconsidering a Focal Typology: Evidence from Spanish and Italian

International audienceMuch work has been done on focus (and the related concepts of topic, comment, theme and rheme) in Spanish and Italian, with the majority concentrating on the ways in which word order is used to convey the interpretation of a grammatical element as the focus of the sentence (e.g. Bolinger 1954, 1954-1955; Contreras 1978, 1980 for Spanish and Antinucci and Cinque 1977; Benincà, Salvi and Frison 1988 for Italian). However, in traditional accounts of focus in these two languages, intonation has received very little consideration. A typical treatment is that of Bolinger (1954-1955) who, in a footnote in his article "Meaningful word order in Spanish" says that he has left intonation out of his account "in order not to complicate matters" (56). Despite the recognition by Bolinger and some other scholars that intonation is likely to be involved in conveying narrow focus, there remains a widely accepted division between languages that mark narrow focus through word order (without necessarily changing intonation pattern) and those that mark it through intonation alone (i.e. without a focal word order per se). Even in a book dedicated to intonation, this belief is evident: Ladd (1996:191) claims that in word order languages sentences like The COFFEE machine broke generally invert the subject and verb, resulting in, for example, S'è rotta la CAFFETTIERA in Italian, with the focal word occurring at the end of the utterance. Ladd goes on to say that "Word order modifications in languages like Spanish and Italian may indirectly achieve the accentual effects that English accomplishes directly by manipulating the location of the nuclear accent" (191). This type of statement not only maintains the traditional division between word order languages and intonation languages in the marking of narrow focus, but it also makes one wonder at how one way of marking narrow focus is more "direct" than the other. What is more, a number of Romance languages appear to use special tunes to express narrow as opposed to broad focus (e.g. Grice, 1995 for Palermo Italian; D'Imperio 2000, 2002 for Neapolitan Italian; Sosa 1999 for American Spanish; Frota 1995 for European Portuguese). There are two types of evidence that lead us to reconsider the traditional division between languages that mark narrow focus with word order and those that mark it with intonation. The first is that native speakers of Spanish and Italian have the intuition that they can emphasize a particular word of an utterance without manipulating word order. The second type of evidence comes from our recent experimental studies (e.g. Face 2001, 2002a, 2002b, 2002c, 2003 for Castilian Spanish and D'Imperio 1999, 2000, 2001, 2002, 2003 for Neapolitan Italian; see Section 2.2) that have begun to look at the ways in which intonation is used as a marker of narrow focus in these two languages. Of particular interest to the issue of a typology based on word order and intonational marking of focus is that the intonational markers of narrow focus found in these studies do not simply accompany changes in word order. Rather they are used independently of word order to mark narrow focus in cases where the canonical broad focus SVO word order is employed. While intonation is used in Spanish and Italian to mark narrow focus, it is also important to point out that the traditional view is not without foundation. Both Spanish and Italian also use changes in word order to mark narrow focus, but the interaction of word order and intonation is different in the two languages. Therefore we propose a revision of the word order vs. intonation focal typology that is less rigid and that more adequately accounts for the differences between Spanish and Italian on the one hand and English on the other, and that also deals with the differences between Spanish and Italian. The varieties of the two Romance languages we will focus on are respectively the Castilian variety for Spanish and the Neapolitan variety for Italian since both have been extensively covered by recent experimental literature

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

WIDER FACE: A Face Detection Benchmark

Face detection is one of the most studied topics in the computer vision community. Much of the progresses have been made by the availability of face detection benchmark datasets. We show that there is a gap between current face detection performance and the real world requirements. To facilitate future face detection research, we introduce the WIDER FACE dataset, which is 10 times larger than existing datasets. The dataset contains rich annotations, including occlusions, poses, event categories, and face bounding boxes. Faces in the proposed dataset are extremely challenging due to large variations in scale, pose and occlusion, as shown in Fig. 1. Furthermore, we show that WIDER FACE dataset is an effective training source for face detection. We benchmark several representative detection systems, providing an overview of state-of-the-art performance and propose a solution to deal with large scale variation. Finally, we discuss common failure cases that worth to be further investigated. Dataset can be downloaded at: mmlab.ie.cuhk.edu.hk/projects/WIDERFaceComment: 12 page

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

ExpressionBot: An Emotive Lifelike Robotic Face for Face-to-Face Communication

This article proposes an emotive lifelike robotic face, called ExpressionBot, that is designed to support verbal and non-verbal communication between the robot and humans, with the goal of closely modeling the dynamics of natural face-to-face communication. The proposed robotic head consists of two major components: 1) a hardware component that contains a small projector, a fish-eye lens, a custom-designed mask and a neck system with 3 degrees of freedom; 2) a facial animation system, projected onto the robotic mask, that is capable of presenting facial expressions, realistic eye movement, and accurate visual speech. We present three studies that compare Human-Robot Interaction with Human-Computer Interaction with a screen-based model of the avatar. The studies indicate that the robotic face is well accepted by users, with some advantages in recognition of facial expression and mutual eye gaze contact