As stated by Spock,“change is the essential process of all existence,” which is reflected in
everyday applications in our daily lives. We, as humans, just need to find a way to make the …

In emotion recognition based on physiological signals, collecting enough labeled data of a
single subject for training is time-consuming and expensive. The physiological signals' …

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 goal of the human interface is to recognize the user's emotional state precisely. In the
speech emotion recognition study, the most important issue is the effective parallel use of …

Artificial Intelligence (AI) based Speech Emotion Recognition (SER) has been widely used
in the consumer field for control of smart home personal assistants, with many such devices …

Speech emotion recognition (SER) is a crucial topic in human–computer interaction.
However, there are still many challenges to extracting emotional embeddings. Emotional …

Speech emotion recognition has become the heart of most human computer interaction
applications in the modern world. The growing need to develop emotionally intelligent …

Speech Emotion Recognition (SER) is a common aspect of human-computer interaction and
has significant applications in fields such as healthcare, education, and elder care. Although …

In computing, the aim of personalization is to train a model that caters to a specific individual
or group of people by optimizing one or more performance metrics and adhering to specific …

Speech emotion recognition (SER) research has usually focused on the analysis of the
native language of speakers, most commonly, targeting European and Asian languages. In …