Learn 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)
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)
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)
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)
This paper addresses the question of perceptual detection and prosodic cues analysis of emotional behavior in a spontaneous speech corpus of real Human-Human dialogs. Detecting real emotions should be a clear focus for research on modeling human dialog, as it could help with analyzing the evolution of the dialog. Our aims are to define appropriate emotions(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)
The present paper aims at filling the lack that currently exists with respect to databases containing emotional manifestations. Emotions, such as strong emotions, are indeed difficult to collect in real-life. They occur during contexts, which are generally unpredictable, and some of them such as anger are less frequent in public life than in private. Even(More)
While sensor networks have now become very popular on land, the underwater environment still poses some difficult problems. Communication is one of the difficult challenges under water. There are two options: optical and acoustic. We have designed an optical communication board that allows the Flecks to communicate optically. We have tested the resulting(More)