Abstract Speech Emotion Recognition (SER) is an important and challenging task for human-
computer interaction. In the literature deep learning architectures have been shown to yield …

Automatic emotion recognition has gained significant attention over the past two decades
due to the central role that emotions play in human communication. While multi-modal …

This thesis outlines novel approaches to integrate contextual information for improving the
performance of automatic emotion recognition systems. Emotion recognition has been of …

Acoustic addressee detection (AD) is a modern paralinguistic and dialogue challenge that
especially arises in voice assistants. In the present study, we distinguish addressees in two …

В статье представлен аналитический обзор исследований в области аффективных
вычислений. Это направление является составляющей искусственного интеллекта, и …

As speech-enabled technology becomes more prevalent, computers need to predict human
emotions accurately. Speech emotion recognition (SER) predicts emotions using just …