Recently, studies have been performed on harmony features for speech emotion
recognition. It is found in our study that the first-and second-order differences of harmony …

This article analyses research in speech emotion recognition (“SER”) from 2006 to 2017 in
order to identify the current focus of research, and areas in which research is lacking. The …

Speech Emotion Recognition (SER) plays a significant role in the field of Human–Computer
Interaction (HCI) with a wide range of applications. However, there are still some issues in …

Human emotions are playing a significant role in the understanding of human behaviour.
There are multiple ways of recognizing human emotions, and one of them is through human …

Control mechanisms in modern Human-Computer Interaction (HCI) underwent a paradigm
shift from textual or display-based control to more intuitive control mechanisms, such as …

Emotion identification from the natural speech is a challenging task. With the advancement
of time, speech recognition is gaining more and more importance. Better methodologies …

In this paper, we present a novel multimodal emotion recognition technique that
automatically learns decision-making parameters customized for each modality. Specifically …

Selecting an appropriate recognition method is crucial in speech emotion recognition
applications. However, the current methods do not consider the relationship between …

Although most of the natural emotions expressed in speech can be clearly identified by
humans, automatic classification systems still display significant limitations on this task …

The speech signal provides rich information about the speaker's emotional state. Therefore,
this article provides an experimental study and examines the detection of negative emotion …