ACCURACIES IN ALGORITHMIC PREDICTORS OF MUSICAL EMOTION

Music information retrieval (MIR) is a growing area of study that aims to algorithmically analyse musical features from audio recordings. Curiously, despite increasing use of MIR algorithms, few studies have examined their accuracy. Here, we evaluate the accuracy of two functions within MIRToolbox—a software library widely used in the field of music cognition for automated musical analyses. We focus on two key musical features—modality …