The wide popularity of digital photography and social networks has generated a rapidly
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …

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 …

Emotion-aware music recommendations has gained increasing attention in recent years, as
music comes with the ability to regulate human emotions. Exploiting emotional information …

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 …

This research work addresses the problem of music emotion recognition using audio
signals. Music emotion recognition research has been gaining ground over the last two …

The goal of this study is to classify a dataset of songs according to their emotion and to
understand the impact that the artist and genre have on the accuracy of the classification …

In this article, we present system for dynamic dimensional music emotion recognition (MER)
and comparison of the system efficiency depending on different audio features. Experiments …

This work focuses on the application of Machine Learning techniques for Music Emotion
Recognition, particularly focusing on children's music. The first step was to create a …

While both speech emotion recognition and music emotion recognition have been studied
extensively in different communities, little research went into the recognition of emotion from …