In recent years, monitoring hate speech and offensive language on social media platforms
has become paramount due to its widespread usage among all age groups, races, and …

Affective Computing systems can detect the emotional state and mindset of an individual.
Speech Emotion Recognition (SER) is a unimodal affect computing system based on …

We present a new implementation of emotion recognition from the para-lingual information
in the speech, based on a deep neural network, applied directly to spectrograms. This new …

Speech emotion recognition is a challenging task for three main reasons: 1) human emotion
is abstract, which means it is hard to distinguish; 2) in general, human emotion can only be …

With the advent of the 5G and Artificial Intelligence of Things (AIoT) era, related technologies
such as the Internet of Things, big data analysis, cloud applications, and artificial intelligence …

Multimodal emotion recognition plays a crucial role in enhancing user experience in human-
computer interaction. Over the past few decades, researchers have proposed a series of …

With the development of technology, the importance of the research on speech emotion
recognition and semantic analysis has increased. The research is primarily applied in …

Speech emotion recognition is an important aspect of human-computer interaction. Prior
work proposes various end-to-end models to improve the classification performance …

Among the other modes of communication, such as text, body language, facial expressions,
and so on, human beings employ speech as the most common. It contains a great deal of …

This work introduces the few-shot learning paradigm in the speech emotion recognition
domain. Emotional characterization of speech segments is carried out through analogies, ie …