In this paper, we propose an approach for music emotion recognition based on
convolutional long short term memory deep neural network (CLDNN) architecture. In …

When designing a new study regarding how music can portray and elicit emotion, one of the
most crucial design decisions involves choosing the best stimuli. Every researcher must find …

Music videos contain a great deal of visual and acoustic information. Each information
source within a music video influences the emotions conveyed through the audio and video …

We propose and demonstrate a simple method to explain the figure of merit (FoM) of a music
information retrieval (MIR) system evaluated in a dataset, specifically, whether the FoM …

This article reviews studies that examine internationally circulating music which has reached
the upper echelon of all-genre single charts in the 21st century. The examinations will be …

Music is one of the effective media to convey emotion. Emotion recognition in music is the
process of identifying the emotion from the music clips. In this paper, a novel approach is …

This book provides a summary of the manifold audio-and web-based approaches to music
information retrieval (MIR) research. In contrast to other books dealing solely with music …

Music has a great role and importance in human life since it has the ability to trigger or
convey feelings. As recognizing music emotions is the subject of many studies conducted in …

Music both conveys and evokes emotions, and although both phenomena are widely
studied, the difference between them is often neglected. The purpose of this study is to …

In music mood prediction, regression models are built to predict values on several mood-
representing dimensions such as valence (level of pleasure) and arousal (level of energy) …