Using Online Chord Databases to Enhance Chord Recognition

Matt McVicar, Ni Yizhao, Raul Santos-Rodriguez, Tijl De Bie. Using online chord databases to enhance chord recognition. Journal of New Music Research, 40(2), 2011.

By tijldebie at 03/11/2011 - 17:35

News

Best chord recognition system around is "Made in Bristol"
Web app could find out if a song has the X Factor
Can Science Predict a Hit Song?
Our work covered in MIT Technology Review

Projects

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

Selected Publications

Interesting pattern mining in multi-relational data
Knowledge discovery interestingness measures based on unexpectedness
Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation
Formalizing Complex Prior Information to Quantify Subjective Interestingness of Frequent pattern Sets
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
Interesting Multi-Relational Patterns
Using Online Chord Databases to Enhance Chord Recognition
Maximum Entropy Models and Subjective Interestingness: an Application to Tiles in Binary Databases
Leveraging Noisy Online Databases for Use in Chord Recognition
Maximum Entropy Modelling for Assessing Results on Real-Valued Data
DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli

Research homepage - Tijl De Bie

Using Online Chord Databases to Enhance Chord Recognition

News

Projects

Selected Publications