Emotion recognition from speech signals is an important but challenging component of
Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER) …

Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …

Speech emotion recognition is a vital and challenging task that the feature extraction plays a
significant role in the SER performance. With the development of deep learning, we put our …

Nowadays emotion recognition from speech (SER) is a demanding research area for
researchers because of its wide real-life applications. There are many challenges for SER …

While speech emotion recognition (SER) has been an active research field since the last
three decades, the techniques that deal with the natural environment have only emerged in …

The speech emotion recognition (SER) field has been active since it became a crucial
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …

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 …

Automatic recognition of emotion is important for facilitating seamless interactivity between a
human being and intelligent robot towards the full realization of a smart society. The …

The use of machine learning and artificial intelligence enables us to create intelligent
systems. Speech emotion recognition system analyzes the speaker's speech to determine …

Automatic speech emotion recognition (SER) is a challenging component of human-
computer interaction (HCI). Existing literatures mainly focus on evaluating the SER …