Creativity is a deeply debated topic, as this concept is arguably quintessential to our
humanity. Across different epochs, it has been infused with an extensive variety of meanings …

Musical harmony analysis is usually a process of unfolding and interpreting the hierarchical
structure of music. Computational approaches to such structural analysis are still …

In 1999, Fujishima published" Realtime Chord Recognition of Musical Sound: a System
using Common Lisp Music". This paper kickstarted an active research topic that has been …

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 …

Recently, the field of musical co-creativity has gained some momentum. In this context, our
goal is twofold: to develop an intelligent listening and predictive module of chord sequences …

In this work we study the use of convolutional neural networks for genre recognition in
symbolically represented music. Specifically, we explore the effects of changing network …

This paper describes a weakly-supervised approach to Automatic Chord Estimation (ACE)
task that aims to estimate a sequence of chords from a given music audio signal at the frame …

In this work, we study the use of convolutional neural networks for genre recognition in
symbolically represented music. Specifically, we explore the effects of changing network …

This paper describes a statistically-principled semi-supervised method of automatic chord
estimation (ACE) that can make effective use of music signals regardless of the availability of …

ABSTRACT A problem inherent to the task of large vocabulary automatic chord recognition
(ACR) is that the distribution over the chord qualities typically exhibits power-law …