2nd International Workshop on Speech, Language and Audio in Multimedia (SLAM2014)
In this work we will introduce EmoSTAR as a new emotional database and perform cross-corpus tests between EmoSTAR and EmoDB (Berlin Emotional Database) using one of the two databases as training set and the other as test set. We will also investigate the performance of feature selectors in both databases. Feature extraction will be implemented with openSMILE toolkit employing Emobase and Emo_large configurations. Classification and feature selection will be run with WEKA tool. EmoSTAR is still under development for more samples and emotion types and we will welcome emotional speech sample donations from the speech community. EmoSTAR is available only for personal research purposes via email to the authors by signing an End User License Agreement.
Index Terms: EmoSTAR, cross-corpus emotion analysis, emotion mining
Bibliographic reference. Parlak, Cevahir / Diri, Banu / Gürgen, Fikret (2014): "A cross-corpus experiment in speech emotion recognition", In SLAM-2014, 58-61.