Sentiment analysis (SA) aims to understand the attitudes and views of opinion holders with
computers. Previous studies have achieved significant breakthroughs and extensive …

This paper focuses on the active interpretability for deep learning-based speech emotion
recognition (SER). To achieve this, we propose an explicit feature constrained model, the …

With the rapid growth in online services, hacking (alternatively attacking) on online database
applications has become a grave concern now. Attacks on online database application are …

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 …

For robots to plan their actions autonomously and interact with people, recognizing human
emotions is crucial. For most humans nonverbal cues such as pitch, loudness, spectrum …

Nowadays, one of the important aspects of research on call/contact centre (CC) systems is
how to automate their operations. Process automation is influenced by the continuous …

Drive-by download refers to attacks that automatically download malwares to user's
computer without his knowledge or consent. This type of attack is accomplished by …

In this paper the children's emotion recognition performance of several neural networks
approaches is described. The Radial Basis Function (RBF), Probabilistic Neural Networks …

Emotion-based features are critical for achieving high performance in a speech emotion
recognition (SER) system. In general, it is difficult to develop these features due to the …

Human's emotional states affect their utterances which are generated through vocal cord
vibrations. Accurate recognition of these emotional states encoded in human speech signals …