Mid-level perceptual musical features

A Data-driven Approach to Mid-level Perceptual Musical Feature Modeling

This paper collects and releases a dataset of 5000 songs annotated by musicians with seven mid-level descriptors, namely, melodiousness, tonal and rhythmic stability, modality, rhythmic complexity, dissonance and articulation, and compares several approaches to predicting these descriptors from spectrograms using deep-learning.