Music emotion recognition (MER) field rapidly expanded in the last decade. Many new
methods and new audio features are developed to improve the performance of MER …

Human emotional expression tends to evolve in a structured manner in the sense that
certain emotional evolution patterns, ie, anger to anger, are more probable than others, eg …

Computer audition (ie, intelligent audio) has made great strides in recent years; however, it
is still far from achieving holistic hearing abilities, which more appropriately mimic human …

Music Dynamic Emotion Prediction is a challenging and significant task. In this paper, We
adopt the dimensional valence-arousal (VA) emotion model to represent the dynamic …

Music and speech exhibit striking similarities in the communication of emotions in the
acoustic domain, in such a way that the communication of specific emotions is achieved, at …

In Panama, there are community organizations that guarantee access to water for human
consumption to more than 20% of the country's total population. For the sustainability of the …

This paper describes a novel method for estimating the emotions elicited by a piece of music
from its acoustic signals. Previous research in this field has centered on finding effective …

Continuous-time prediction of self reported musical emotions is a challenging problem with
many applications. However, there are relatively few studies on design of Deep learning …

In this paper we describe our approach for the MediaE-val's “Emotion in Music” task. Our
method consists of deep Long-Short Term Memory Recurrent Neural Networks (LSTM-RNN) …

Dynamic Music Emotion Prediction is crucial to the emerging applications of music retrieval
and recommendation. Considering the influence of temporal context and hierarchical …