This review paper presents an exploration of the deep learning-based music generation
literature, designed to offer undergraduate researchers an initiation into the field. This study …

This article presents a multimodal dataset comprising various representations and
annotations of Franz Schubert's song cycle Winterreise. Schubert's seminal work constitutes …

Automatic harmonic analysis has been an enduring focus of the MIR community, and has
enjoyed a particularly vigorous revival of interest in the machine-learning age. We focus …

Automatic chord recognition (ACR) has long been a topic of interest in the field of Music
Information Retrieval (MIR), due to not only its commercial applications, but also its support …

Tonal harmony is one of the central organization systems of Western music. This article
characterizes the statistical foundations of tonal harmony based on the computational …

Roman Numeral analysis is the important task of identifying chords and their functional
context in pieces of tonal music. This paper presents a new approach to automatic Roman …

'When in Rome'brings together all human-made, computer-encoded, functional harmonic
analyses of music. This amounts in total to over 2,000 analyses of 1,500 distinct works. The …

AugmentedNet is a new convolutional recurrent neural network for predicting Roman
numeral labels. The network architecture is characterized by a separate convolutional block …

Deep learning approaches to automatic chord recognition of symbolic music have improved
the state of the art, but they still face a common problem: how to deal with a vast chord …

This paper introduces the Beethoven Piano Sonata Dataset (BPSD), a multi-version dataset
focusing on the first movements of Beethoven's 32 piano sonatas. Recognized as pivotal …