Music is the language of emotions. In recent years, music emotion recognition has attracted
widespread attention in the academic and industrial community since it can be widely used …

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

The design of meaningful audio features is a key need to advance the state-of-the-art in
music emotion recognition (MER). This article presents a survey on the existing emotionally …

This work advances the music emotion recognition state-of-the-art by proposing novel
emotionally-relevant audio features. We reviewed the existing audio features implemented …

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 …

Deep cross-modal learning has successfully demonstrated excellent performance in cross-
modal multimedia retrieval, with the aim of learning joint representations between different …

Music is ubiquitous in our everyday lives, and lyrics play an integral role when we listen to
music. The complex relationships between lyrical content, its temporal evolution over the last …

The task of identifying emotions from a given music track has been an active pursuit in the
Music Information Retrieval (MIR) community for years. Music emotion recognition has …

Abstract The field of Music Emotion Recognition has become and established research sub-
domain of Music Information Retrieval. Less attention has been directed towards the …

One of the goals of the music information retrieval (MIR) community is to research new
methods and create new systems that can efficiently and effectively retrieve and recommend …