Automatic Chord Estimation from Audio: a Review of the State of the Art

Matt McVicar, Ni Yizhao, Raul Santos-Rodriguez, Tijl De Bie. Automatic Chord Estimation from Audio: a Review of the State of the Art. IEEE Transactions on Audio, Speech and Language Processing, 22:2, 2014.

(Link)

By tijldebie at 09/19/2013 - 10:40

News

Covid Spring Symposium
Multiple vacancies (fully funded PhD studentships and postdoc positions)
Vacancy: postdoc position on ERC & Odysseus projects
ERC Consolidator Grant FORSIED

Projects

Statistical foundations of data mining
Music information retrieval
Machine learning
Bioinformatics
Web and text mining

Selected Publications

Informative Data Projections: A Framework and Two Examples
Subjective interestingness of subgraph patterns
P-N-RMiner: A Generic Framework for Mining Interesting Structured Relational Patterns
Subjectively interesting alternative clusterings
Interesting pattern mining in multi-relational data
Automatic Chord Estimation from Audio: a Review of the State of the Art
Understanding effects of subjectivity in measuring chord estimation accuracy
Knowledge discovery interestingness measures based on unexpectedness
CCA and Multi-way Extension for Investigating Common Components Between Audio, Lyrics and Tags
An end-to-end machine learning system for harmonic analysis of music
An Information Theoretic Framework for Data Mining

Research homepage - Tijl De Bie

Automatic Chord Estimation from Audio: a Review of the State of the Art

News

Projects

Selected Publications