In this overview article, we review research on the task of Automatic Chord Estimation (ACE).
The major contributions from the last 14 years of research are summarized, with detailed …

Generating a chord progression from a monophonic melody is a challenging problem
because a chord progression requires a series of layered notes played simultaneously. This …

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

We describe an acoustic chord transcription system that uses symbolic data to train hidden
Markov models and gives best-of-class frame-level recognition results. We avoid the …

Audio classification aims to discriminate between different audio signal types, and it has
received intensive attention due to its wide applications. In deep learning-based audio …

For more than a decade, music information science and musicology have been at what
Nicholas Cook has described as a'moment of opportunity'for collaboration on database …

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 …

Musical grammar describes a set of principles that are used to understand and interpret the
structure of a piece according to a musical style. The main topic of this study is grammar …

This paper presents mathematical techniques for automatically extracting and analyzing
bioacoustic signals. Automatic techniques are described for isolation of target signals from …

Although automatic chord recognition has generated a number of recent papers in MIR,
nobody to date has done a proper cross validation of their recognition results. Cross …