Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …

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 …

Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …

While there are many music datasets with emotion labels in the literature, they cannot be
used for research on symbolic-domain music analysis or generation, as there are usually …

An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …

The proliferation of MP3 players and the exploding amount of digital music content call for
novel ways of music organization and retrieval to meet the ever-increasing demand for easy …

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 …

Along with the rapid expansion of digital music formats, managing and searching for songs
has become significant. Though music information retrieval (MIR) techniques have been …

Increasing amount of online music content has opened new opportunities for implementing
new effective information access services–commonly known as music recommender …

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 …