Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion

A lot of research effort has been spent on the development of emotion theories and modeling, however, their suitability and applicability to expressions in human computer interaction has not exhaustively been evaluated. Furthermore, investigations concerning the ability of the annotators to map certain expressions onto the developed emotion models is lacking proof. The proposed annotation tool, which incorporates the standard Geneva Emotional Wheel developed by Klaus Scherer and a novel temporal characteristic description feature, is aiming towards enabling the annotator to label expressions recorded in human computer interaction scenarios on an utterance level. Further, it is respecting key features of realistic and natural emotional expressions, such as their sequentiality, temporal characteristics, their mixed occurrences, and their expressivity or clarity of perception. Additionally, first steps towards evaluating the proposed tool, by analyzing utterance annotations taken from tw...

• Type: Conference
• Year: 2010
• Where: LREC
• Authors: Stefan Scherer, Ingo Siegert, Lutz Bigalke, Sascha Meudt
• Keywords: Education, Human Computer Interaction, LREC 2010, Natural Emotional Expressions, Temporal Characteristics