Reference annotation datasets containing harmony annotations are at the core of a wide
range of studies in music information retrieval (mir) and related fields. The majority of these …

While global key and chord estimation for both popular and classical music recordings have
received a lot of attention, little research has been devoted to estimating the local key for …

Patterns are an essential part of music and there are many different algorithms that aim to
discover them. Based on the improvements brought by using data fusion methods to find the …

Current automatic chord estimation systems are trained and tested using datasets that
contain single reference annotations, ie, for each corresponding musical segment (eg, audio …

Chords and their progressions are an important aspect of Western tonal music. Specifically,
transitions between subsequent chords within a piece carry style-relevant information. To …

The increasing accuracy of automatic chord estimation systems, the availability of vast
amounts of heterogeneous reference annotations, and insights from annotator subjectivity …

Pattern discovery algorithms in the music domain aim to find meaningful components in
musical compositions. Over the years, although many algorithms have been developed for …

Abstract Automatic Chord Estimation (ACE) is a fundamental task in Music Information
Retrieval (MIR) and has applications in both music performance and MIR research. The task …

Reference annotation datasets containing harmony annotations are at the core of a wide
range of studies in music information retrieval (MIR) and related fields. The majority of these …

Automatic Chord Estimation (ACE) is a fundamental task in Music Information Retrieval
(MIR) and has applications in both music performance and MIR research. The task consists …