A current perceived emotional state of a user is determined. A semantic content of text
inputted by the user can also be determined, as can an ongoing context in which the text …

Machine Learning (ML) algorithms within a human–computer framework are the leading
force in speech emotion recognition (SER). However, few studies explore cross-corpora …

Abstract We present DEMoS (Database of Elicited Mood in Speech), a new, large database
with Italian emotional speech: 68 speakers, some 9 k speech samples. As Italian is under …

Teamwork skills are important and even essential for software engineering professionals.
Although there are rich research results on teamwork skill development and assessment in …

Any researcher attempting to capture and comprehend emotions scientifically is confronted
with the fact that emotions are highly abstract concepts; as a result the semantic analysis of …

In speech, low frequency regions play a significant role in paralinguistic communication
such as the conveyance of emotion or mood. The extent to which lower frequencies signify …

Objectives. The development of ecologically valid procedures for collecting reliable and
unbiased emotional data towards computer interfaces with social and affective intelligence …

This paper describes the design of a sound system used in human-robot interaction. Its
objective is to play sounds synchronized with a main system (another application or a robot) …

The analysis of speech, particularly for emotional content, is an open area of current
research. This paper documents the development of a vowel-stress analysis framework for …

In a communication using texts input, viseme (visual phonemes) is derived from a group of
phonemes having similar visual appearances. Hidden Markov model (HMM) has been a …