Affective computing is an emerging multidisciplinary research field that is increasingly
drawing the attention of researchers and practitioners in various fields, including artificial …

This work presents a comprehensive review on stimuli presentation, which is an important
stage of any emotion elicitation experiment in affect analysis. Due to lack of standard …

Music is widely used for mood and emotion regulation in our daily life. As a result, many
research works on music information retrieval and affective human-computer interaction …

Music emotion classification (MEC) is the multidisciplinary research area that is related to
perceive the emotions from the songs and label the songs with particular emotion classes …

Music preference was reported as a factor, which could elicit innermost music emotion,
entailing accurate ground-truth data and music therapy efficiency. This study executes …

The exponential growth of multimodal content in today's competitive business environment
leads to a huge volume of unstructured data. Unstructured big data has no particular format …

Music therapy is an effective tool to slow down the progress of dementia since interaction
with music may evoke emotions that stimulates brain areas responsible for memory. This …

Music is one of the finest element to trigger emotions in human beings. Each and every
human being feels the music and emotions are automatically provoked by listening music …

Objective. The aesthetic evaluation of music is strongly dependent on the listener and
reflects manifold brain processes that go well beyond the perception of incident sound …

To achieve high performance and classification accuracy, classification of emotions from
audio or speech signals requires large quantities of data. Big datasets, however, are not …