Automatic emotion recognition constitutes one of the great challenges providing new tools
for more objective and quicker diagnosis, communication and research. Quick and accurate …

The evidence-based treatment (EBT) movement has primarily focused on core intervention
content or treatment fidelity and has largely ignored practitioner skills to manage …

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 …

Speech feature fusion is the most commonly used phenomenon for improving the accuracy
in Speech Emotion Recognition (SER). But in this, there is a disadvantage of increasing the …

Research has proven that having high level of emotional intelligence (EI) can reduce the
chance of getting mental illness. EI, and its component, can be improved with training, but …

In this paper, the Mexican Emotional Speech Database (MESD) that contains single-word
emotional utterances for anger, disgust, fear, happiness, neutral and sadness with adult …

In this paper, a new supervised classification paradigm, called classifier subset selection for
stacked generalization (CSS stacking), is presented to deal with speech emotion …

The use of the combination of different speech features is a common practice to improve the
accuracy of Speech Emotion Recognition (SER). Sometimes, this leads to an abrupt …

Socio-emotional impairments are key symptoms of Autism Spectrum Disorders. This work
proposes to analyze the neuronal activity related to the discrimination of emotional …

Emotion datasets used for Speech Emotion Recognition (SER) often contain acted or
elicited speech, limiting their applicability in real-world scenarios. In this work, we used the …