Speech is the most natural way of expressing ourselves as humans. It is only natural then to
extend this communication medium to computer applications. We define speech emotion …

Hyperspectral fluorescence imaging (HFI) is a well-known technique in the medical research
field and is considered a non-invasive tool for tissue diagnosis. This review article gives a …

Speech emotion recognition is challenging because of the affective gap between the
subjective emotions and low-level features. Integrating multilevel feature learning and model …

Recently, increasing attention has been directed to the study of the emotional content of
speech signals, and hence, many systems have been proposed to identify the emotional …

Speech emotion recognition (SER) plays a significant role in human–machine interaction.
Emotion recognition from speech and its precise classification is a challenging task because …

In this paper we overview emotional speech recognition having in mind three goals. The first
goal is to provide an up-to-date record of the available emotional speech data collections …

Speech emotion recognition (SER) systems identify emotions from the human voice in the
areas of smart healthcare, driving a vehicle, call centers, automatic translation systems, and …

Speech is the most effective way for people to exchange complex information. Recognition
of emotional information contained in speech is one of the important challenges in the field …

Many works have focused on speech emotion recognition algorithms. However, most rely on
the proper selection of speech acoustic features. In this paper, we propose a novel emotion …

Speech emotion recognition (SER), an important method of emotional human–machine
interaction, has been the focus of much research in recent years. Motivated by powerful …