8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

BECAM Tool - A Semi-Automatic Tool for Bootstrapping Emotion Corpus Annotation and Management

Slim Abdennadher (1), Mohamed Aly (1), Dirk Bühler (2), Wolfgang Minker (2), Johannes Pittermann (2)

(1) German University in Cairo, Egypt
(2) University of Ulm, Germany

Corpus annotation is an important aspect in speech applications where stochastic models need to be trained and evaluated. Multimodal corpora are also annotated. Moreover, corpus annotation is an essential phase in the construction of emotion recognizer engines. Large corpora, as they are essential to construct representative knowledge bases, have been a problem for corpus annotators. Time consumed for labeling such corpora is very significant. Furthermore, manageability becomes more arduous and tedious. In this paper, we propose a semi-automatic tool, called BECAM tool, that will help corpus annotators in managing and annotating large sample emotion corpora.

Full Paper

Bibliographic reference.  Abdennadher, Slim / Aly, Mohamed / Bühler, Dirk / Minker, Wolfgang / Pittermann, Johannes (2007): "BECAM tool - a semi-automatic tool for bootstrapping emotion corpus annotation and management", In INTERSPEECH-2007, 946-949.