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

In the last few years, the multi-modal emotion recognition has become an important research
issue in the affective computing community due to its wide range of applications that include …

Understanding and identifying emotional cues in human speech is a crucial aspect of
human–computer communication. The application of computer technology in dissecting and …

Over the past few years, virtual assistant solutions used in Contact Center systems are
gaining popularity. One of the main tasks of the virtual assistant is to recognize the intentions …

The performance of a speech emotion recognition (SER) system is heavily influenced by the
efficacy of its feature extraction techniques. The study was designed to advance the field of …

Since informatization and digitization came into life, audio signal emotion classification has
been widely studied and discussed as a hot issue in many application fields. With the …

When selecting test data for subjective tasks, most studies define ground truth labels using
aggregation methods such as the majority or plurality rules. These methods discard data …

Speech emotion recognition~(SER) refers to the technique of inferring the emotional state of
an individual from speech signals. SERs continue to garner interest due to their wide …

Speech emotion recognition (SER) has gained significant attention due to its several
application fields, such as mental health, education, and human-computer interaction …

Physical education is a highly skilled education offered in colleges and universities.
Teachers do not appear in front of inanimate machines as laborers, and they are not the …