Emotions are an integral part of human interactions and are significant factors in determining
user satisfaction or customer opinion. speech emotion recognition (SER) modules also play …

Speech emotion recognition could be considered a new topic in speech processing where
he plays that plays an essential role in human interaction. Emotions are a king of speech …

One of the main challenges facing the current approaches of speech emotion recognition is
the lack of a dataset large enough to train the currently available deep learning models …

Speech emotion recognition (SER) plays a vital role in human–machine interaction. A large
number of SER schemes have been anticipated over the last decade. However, the …

Speech signals are the most convenient way of communication between human beings and
the eventual method of Human–Computer Interaction (HCI) to exchange emotions and …

Speech emotion recognition is one of the challenging research issues in the knowledge-
based system and various methods have been recommended to reach high classification …

Abstract Infrared-Thermal Imaging is a non-contact mechanism for psychophysiological
research and application in Human–Computer Interaction (HCI). Real-time detection of the …

Meticulous learning of human emotions through speech is an indispensable function of
modern speech emotion recognition (SER) models. Consequently, deriving and interpreting …

Speech emotion recognition is an important aspect of emotional state recognition in human–
machine interaction. Approaches using speech-to-image transforms have become popular …

Convolutional neural networks (CNNs) are a state-of-the-art technique for speech emotion
recognition. However, CNNs have mostly been applied to noise-free emotional speech data …