Various disconnected chord datasets are currently available for music analysis and
information retrieval, but they are often limited by either their size, non-openness, lack of …

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 …

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 …

'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 …

The harmonic analysis of a musical composition is a fundamental step towards
understanding its structure. Central to this analysis is the labeling of segments of a piece …

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 …

We introduce a project that revives a piece of 15th-century Korean court music,
Chihwapyeong and Chwipunghyeong, composed upon the poem Songs of the Dragon …

Emotion-driven melody harmonization aims to generate diverse harmonies for a single
melody to convey desired emotions. Previous research found it hard to alter the perceived …

Modulations, the moments where key change, are structurally important in tonal music.
Analyzing music, especially studying large-scale music structure of a piece, often implies to …