@incollection{Fotetal2003,
author = "Φωτεινέα, Ευίτα-Σταυρούλα and Μπακαμίδης, Στυλιανός and Αθανασέλης, Θεολόγος and Δολόγλου, Ιωάννης and Βακαλοπούλου, Άννα and Cowie, R. and Douglas-Cowie, R. and Fragopanagos, N. and Taylor, J.G.",
abstract = "If speech analysis is to detect a speaker’s emotional state, it needs to derive information from both linguistic information, i.e., the qualitative targets that the speaker has attained (or approximated), conforming to the rules of language; and paralinguistic information, i.e., allowed variations in the way that qualitative linguistic targets are realised. It also needs an appropriate representation of emotional states. The ERMIS project addresses the integration problem that those requirements pose. It mainly comprises a paralinguistic analysis and a robust speech recognition module. Descriptions of emotionality are derived from these modules following psychological and linguistic research that indicates the information likely to be available. We argue that progress in registering emotional states depends on establishing an overall framework of at least this level of complexity.",
address = "Berlin Heidelberg",
booktitle = "Lecture Notes in Computer Science (LNCS)",
editor = "O. Kaynak et al.",
isbn = "0302-9743",
keywords = "speech, emotion, linguistic analysis, paralinguistic analysis, psychological analysis",
pages = "1125-1132",
publisher = "Springer-Verlag ",
title = "{E}motion in {S}peech: towards an integration of linguistic, paralinguistic and psychological analysis ",
year = "2003",
}