Antonio Origlia

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Francesco Cutugno34
Bogdan Ludusan12
Massimo Petrillo9
Krzysztof Marasek6
Celia M Gonzalez6
25Francesco Cutugno
13Bogdan Ludusan
10Michele Nati
10Seyed Amir Hoseinitabatabaei
10Alexander Gluhak

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From Nonverbal Cues to Perception: Personality and Social Attractiveness
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)
Automatic classification of emotions via global and local prosodic features on a multilingual emotional database
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)
From speech to personality: mapping voice quality and intonation into personality differences
From a cognitive point of view, personality perception corresponds to capturing individual differences and can be thought of as positioning the people around us in an ideal personality space. The more similar the personality of two individuals, the closer their position in the space. This work shows that the mutual position of two individuals in the… (More)
Different parts of the same elephant: A roadmap to disentangle and connect different perspectives on prosodic prominence
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)
Pitch behavior detection for automatic prominence recognition
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)
Prosomarker: a prosodic analysis tool based on optimal pitch stylization and automatic syllabi fication
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)