Contending with signal variability due to source and channel effects is a critical problem in automatic emotion recognition. Any approach in mitigating these effects however has t...
Carlos Busso, Angeliki Metallinou, Shrikanth S. Na...
This paper deals with emotional speech detection in home movies. In this study, we focus on infant-directed speech also called "motherese" which is characterized by highe...
In this paper we describe a corpus set together from two sub-corpora. The CINEMO corpus contains acted emotional expression obtained by playing dubbing exercises. This new protoco...
Inspired by the recent improvements in domain adaptation and session variability compensation techniques used for speech and speaker processing, we study their effect for emotion ...
This paper investigates the use of speech-to-text methods for assigning an emotion class to a given speech utterance. Previous work shows that an emotion extracted from text can c...
Florian Metze, Anton Batliner, Florian Eyben, Tim ...