We propose a linear model of the relationship between the physical changes in speech and
perceived emotional concepts. We make use of orthogonal bases in spite of the emotional …

A system that is capable of both recognizing and synthesising emotional content in speech
is developed. First, the information that relates the physical features of emotional speech to …

More and more efforts have been made for the research of emotional speech recently.
Although we may, sometimes be able to make a definite perceptual decision on emotion …

The objective of this study was to determine whether one perceptually dominant channel in
carrying emotional cues could be determined among speech, textual content and facial …

The research is conducted to develop a methodology to model the emotional contents of
speech as a linear function of time and speech features. In this study, emotional type is …

Emotional speech classification can be treated as a supervised learning task where the
statistical properties of emotional speech segments are the features and the emotional styles …

Data sparseness is an ever dominating problem in automatic emotion recognition. Using
artificially generated speech for training or adapting models could potentially ease this …

The lack of publicly available annotated databases is one of the major barriers to research
advances on emotional information processing. In this contribution we present a recently …

To provide acoustic information of affective speech for computer modelling, this study
conducted an investigation on the friendly Mandarin Chinese speech. Based on the …

The paper presents an approach to emotion recognition from speech signals and textual
content. In the analysis of speech signals, thirty-three acoustic features are extracted from …