13 citations · 28 across the 11 of their papers we have counts for
4 papers · 1 filter
Towards Unified Music Emotion Recognition across Dimensional and Categorical Models
Jaeyong Kang, Dorien Herremans
One of the most significant challenges in Music Emotion Recognition (MER) comes from the fact that emotion labels can be heterogeneous across datasets with regard to the emotion re…
Prevailing Research Areas for Music AI in the Era of Foundation Models
Megan Wei, Mateusz Modrzejewski, Aswin Sivaraman +1
Parallel to rapid advancements in foundation model research, the past few years have witnessed a surge in music AI applications. As AI-generated and AI-augmented music become incre…
Are We There Yet? A Brief Survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges
Jaeyong Kang, Dorien Herremans
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 facing?…
Hit Song Prediction Based on Early Adopter Data and Audio Features
Dorien Herremans, Tom Bergmans
Billions of USD are invested in new artists and songs by the music industry every year. This research provides a new strategy for assessing the hit potential of songs, which can he…