More than a decade has passed since research on automatic recognition of emotion from
speech has become a new field of research in line with its 'big brothers' speech and speaker …

Superimposition is a composition technique that has been applied successfully in many
areas of software development. Although superimposition is a general-purpose concept, it …

The present study elaborates on the exploitation of both linguistic and acoustic feature
modeling for anger classification. In terms of acoustic modeling we generate statistics from …

In this paper, a novel multiscale amplitude feature is proposed using multiresolution analysis
(MRA) and the significance of the vocal tract is investigated for emotion classification from …

Automatic emotion recognition from speech signals without linguistic cues has been an
important emerging research area. Integrating emotions in human–computer interaction is of …

The role of automatic emotion recognition from speech is growing continuously because of
the accepted importance of reacting to the emotional state of the user in human–computer …

In this paper, we propose a novel framework for recognizing both discrete and dimensional
emotions. In our framework, deep features extracted from foundation models are used as …

This chapter will examine current approaches to speech based emotion recognition.
Following a brief introduction that describes the current widely utilised approaches to …

In this article we present an efficient approach to modeling the acoustic features for the tasks
of recognizing various paralinguistic phenomena. Instead of the standard scheme of …

In-the-wild emotion recognition requires dealing with large variances in input signals,
multiple sources of noise that will distract the learners, as well as difficult annotation and …