A Real-World Emotional Speech Corpus for Modern Greek

Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008)

Abstract

The present paper deals with the design and the annotation of a Greek real-world emotional speech corpus. The speech data consist of recordings collected during the interaction of naïve users with a smart-home dialogue system. Annotation of the speech data with respect to the uttered command and emotional state was performed. Initial experimentations towards recognizing negative emotional states were performed and the experimental results indicate the range of difficulties when dealing with real-world data.