In this article, we describe and interpret a set of acoustic and linguistic features that
characterise emotional/emotion-related user states–confined to the one database …

In this chapter, we focus on the automatic recognition of emotional states using acoustic and
linguistic parameters as features and classifiers as tools to predict the 'correct'emotional …

Most research efforts dealing with recognition of emotion-related states from the human
speech signal concentrate on acoustic analysis. However, the last decade's research results …

We deal with the topic of segmenting emotion‐related (emotional/affective) episodes into
adequate units for analysis and automatic processing/classification—a topic that has not …

We describe how the interaction mode with an embodied conversational agent (ECA) affects
the users' perception of the agent and their behavior during interaction, and propose a …

Mass consumption of large collections of digital music asks for efficient and intuitive ways of
organization. In this article, a system is presented which recognizes the evoked music mood …

In this paper, we describe the process that we used to create a new corpus of children's
emotional speech. We used a Wizard of Oz (WoZ) setting to induce different emotional …

In this chapter, we revisit the main theories of human emotion and personality and their
implications for the development of affective conversational agents. We focus on the role that …

We present a qualitative analysis of the lexicon of dialogue acts: we explore the relationship
between the communicative goal of an utterance and its affective lexicon as well as the …

This research aims at defining a real-time probabilistic model of user's engagement in
advice-giving dialogues. We propose an approach based on Hidden Markov Models …