Reliability of Lexical and Prosodic Cues in two Real-life Spoken Dialog Corpora
L. Devillers (1), I. Vasilescu(2)
(1) LIMSI-CNRS , BP133, 91 403 Orsay Cedex, France - firstname.lastname@example.org; (2) LTCI-ENST, 46, rue Barrault, 75013 Paris, France - email@example.com
The present research focuses on analyzing and detecting emotions in speech as re vealed by task-dependent spoken dialogs corpora. Previously, we have conducted s everal experiments on a real-life corpus in order to develop a reliable annotati on method and to detect lexical and prosodic cues correlated to the main emotion class. In this paper we evaluate both the robustness of the annotation scheme a nd of the lexical and prosodic cues by testing them on a new corpus. This work i s carried out in the context of the Amities project in which spoken dialog syste ms for call center services are being developed.
emotion detection, real-life call centers database, prosodic and lexical cues