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

Chord recognition is an important task since chords are highly abstract and descriptive
features of music. For effective chord recognition, it is essential to utilize relevant context in …

Chord recognition systems typically comprise an acoustic model that predicts chords for
each audio frame, and a temporal model that casts these predictions into labelled chord …

Automatic Chord Recognition (ACR) seeks to extract chords from musical signals. Recently,
deep neural network (DNN) approaches have become popular for this task, being employed …

Résumé 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 …

Chord progressions encapsulate important information about music, pertaining to its
structure and conveyed emotions. They serve as the backbone of musical composition, and …

Common temporal models for automatic chord recognition model chord changes on a frame-
wise basis. Due to this fact, they are unable to capture musical knowledge about chord …

Chord symbols, typically notating the root note and the chord quality, are extensively used
yet oversimplified representation of tonal harmony and chord progressions in popular music …

This study borrows and extends probabilistic language models from natural language
processing to discover the syntactic properties of tonal harmony. Language models come in …

In this thesis, I consider the automatic extraction of harmonic information from musical audio.
Obtaining such information automatically is relevant not only for theoretical analyses, but …