Antonio Origlia

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Nonverbal behaviour influences to a significant extent our perception of others, especially during the earliest stages of an interaction. This article considers the phenomenon in two zero acquaintance scenarios: the first is the attribution of personality traits to speakers we listen to for the first time, the second is the social attractiveness of(More)
In this paper we introduce the €motion database, a multilingual emotional database consisting of emotional sentences elicited in four European languages: Italian, French, English and German. Along with this, a new set of features, containing both global and local prosodic features, for automatic classification of emotions is presented and their(More)
In this paper, we propose a human-robot interaction system that exploits emotion and attention to regulate and adapt the robotic interactive behavior. In particular, we will focus on the relation between arousal, predictability, and attentional allocation considering as a case study a robotic manipulator interacting with a human operator. We rely on a(More)
In recent years, there has been an increasing interest towards cultural heritage in the field of ICT applications. To design efficient communication strategies the knowledge possessed by art historians, with expertise in mediating access to cultural heritage, has become a valuable resource. In this work, we present a human-robot interaction setup where(More)
Prosodic research in recent years has been supported by a number of automatic analysis tools aimed at simplifying the work that is requested to study intonation. The need to analyze large amounts of data and to inspect phenomena that are often ambiguous and difficult to model makes the prosodic research area an ideal application field for computer based(More)
In this paper we will investigate the usefulness of the rhythmogram, a speech rhythm representation based on the Auditory Primal Sketch model, for the automatic detection of prominent syllables. This representation was compared to other features usually used for this task and it showed a higher performance in the identification of prominent/non-prominent(More)
Prosodic prominence is an umbrella term encompassing various related but conceptually and functionally different phenomena such as phonological stress, paralinguistic emphasis, lexical, syntactic, semantic or pragmatic salience, to mention a few. Due to the high interest prominence has received from various disciplines, it has been studied from multiple(More)
In this paper a non-supervised approach for automatic syllable prominence recognition is presented. Previous research in this field showed that syllable nuclei energy and duration are the main cues for prominence detection. The role of the fundamental frequency has also been investigated in the past but was considered secondary or irrelevant for this task.(More)
The present study performs an investigation on several issues concerning the automatic detection of prominences. Its aim is to offer a better understanding of the prominence phenomenon in order to be able to improve existent prominence detection systems. The study is threefold: first, the presence of hidden dynamics in the sequence of prominent and(More)