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...
Emotion recognition from speech plays an important role in developing affective and intelligent systems. This study investigates sentence-level emotion recognition. We propose to ...
An essential step in the generation of expressive speech synthesis is the automatic detection and classification of emotions most likely to be present in textual input. At last I...
We present a study of the prosody – seen in a broader sense – that supports the theory of the interrelationship function of speech. “Pure emotions” are meant to show a rela...
We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...