Ioana Vasilescu

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This paper addresses the issue of automatic emotion recognition in speech. We focus on a type of emotional manifestation which has been rarely studied in speech processing: fear-type emotions occurring during abnormal situations (here, unplanned events where human life is threatened). This study is dedicated to a new application in emotion recognition –(More)
The present research focuses on the development of a fear detection system for surveillance applications based on acoustic cues. The emotional speech material used for this study comes from the previously collected SAFE Database (Situation Analysis in a Fictional and Emotional Database) which consists of audiovisual sequences extracted from movie fictions.(More)
This paper deals with the overview of the methods in perceptual language identification and the suggestion of a new approach based on a two-step methodology integrating to perception “genetic” considerations and resulting into the modeling of perceptually identified discriminative cues. The first study reported here concerns experimental designs for(More)
Automatic emotion detection is potentially important for customer care in the context of call center services. A major difficulty is that the expression of emotion is quite complex in the context of agent-client dialogs. Due to unstated rules of politeness it is common to have shaded emotions, in which the interlocutors attempt to limit their internal(More)
Detecting emotions in the context of automated call center services can be helpful for following the evolution of the human-computer dialogs, enabling dynamic modification of the dialog strategies and influencing the final outcome. The emotion detection work reported here is a part of larger study aiming to model user behavior in real interactions. We make(More)
The present research focuses on analyzing and detecting emotions in speech as revealed by task-dependent spoken dialogs corpora. Previously, we have conducted several experiments on a real-life corpus in order to develop a reliable annotation method and to detect lexical and prosodic cues correlated to the main emotion class. In this paper we evaluate both(More)
A disposable amperometric biosensor was developed for the detection of total polyphenolic compounds from tea infusions. The biosensor was designed by modifying the surface of a carbon screen-printed electrode with platinum nanoparticles and reduced graphene oxide, followed by the laccase drop-casting and stabilization in neutralised 1% Nafion solution. The(More)
Recent work on emotional speech processing has demonstrated the interest to consider the information conveyed by the emotional component in speech to enhance the understanding of human behaviors. But to date, there has been little integration of emotion detection systems in effective applications. The present research focuses on the development of a(More)