The speech emotion recognition (SER) field has been active since it became a crucial
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …

Pervasive sensing has opened up new opportunities for measuring our feelings and
understanding our behavior by monitoring our affective states while mobile. This review …

Recently, increasing attention has been directed to the study of the emotional content of
speech signals, and hence, many systems have been proposed to identify the emotional …

Thanks to the decreasing cost of whole-body sensing technology and its increasing
reliability, there is an increasing interest in, and understanding of, the role played by body …

The interaction between human beings and computers will be more natural if computers are
able to perceive and respond to human non-verbal communication such as emotions …

The expression and experience of human behavior are complex and multimodal and
characterized by individual and contextual heterogeneity and variability. Speech and …

Machine recognition of human emotional state is an important component for efficient
human-computer interaction. The majority of existing works address this problem by utilizing …

Recognizing human emotions/attitudes from speech cues has gained increased attention
recently. Most previous work has focused primarily on suprasegmental prosodic features …

This paper addresses the issue of automatic emotion recognition in speech. We focus on a
type of emotional manifestation which has been rarely studied in speech processing: fear …

This paper reports emotion recognition results from speech signals, with particular focus on
extracting emotion features from the short utterances typical of Interactive Voice Response …