Deep learning models for music have advanced drastically in recent years, but how good
are machine learning models at capturing emotion, and what challenges are researchers …

We present a platform and a dataset to help research on Music Emotion Recognition (MER).
We developed the Music Enthusiasts platform aiming to improve the gathering and analysis …

Emotion is a complicated notion present in music that is hard to capture even with fine-tuned
feature engineering. In this paper, we investigate the utility of state-of-the-art pre-trained …

As a key field in music information retrieval, music emotion recognition is indeed a
challenging task. To enhance the accuracy of music emotion classification and recognition …

The proven ability of music to transmit emotions provokes the increasing interest in the
development of new algorithms for music emotion recognition (MER). In this work, we …

Music listening has experienced a sharp increase during the last decade thanks to music
streaming and recommendation services. While they offer text-based search functionality …

Due to the subjectivity of emotions and the limited number of emotion categories, existing
deep learning models require assistance to achieve objective, accurate, and flexible …

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

In recent years, with the development of the digital era, music emotion recognition
technology has been widely used in the fields of music recommendation system, music …

We listen to music every day and feel various emotions from different music, it brings us to
the right mood and bonds us to other people and creates a shared experience. Depending …