This research project, as yet unfunded, is on the use and development of advanced machine learning techniques for music information retrieval purposes.
Our prime focus so far has been on the use of noisy and incomplete data resources as additional training data for chord recognition systems.
Also check out our Public Outreach project on www.scoreahit.com (see also here).
Publications:
| Title | Authors | Status | Year |
|---|---|---|---|
| Automatic Chord Estimation from Audio: a Review of the State of the Art | Matt McVicar, Ni Yizhao, Raul Santos-Rodriguez, Tijl De Bie | journal paper | 2014 |
| Understanding effects of subjectivity in measuring chord estimation accuracy | Yizhao Ni, Matt McVicar, Raul Santos-Rodriguez, Tijl De Bie | journal paper | 2013 |
| An end-to-end machine learning system for harmonic analysis of music | Ni Yizhao, Matt McVicar, Raul Santos-Rodriguez, Tijl De Bie | journal paper | 2012 |
| CCA and Multi-way Extension for Investigating Common Components Between Audio, Lyrics and Tags | Matt McVicar, Tijl De Bie | conference paper | 2012 |
| Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation | Yizhao Ni, Matt McVicar, Raul Santos-Rodriguez, Tijl De Bie | conference paper | 2012 |
| Leveraging Noisy Online Databases for Use in Chord Recognition | Matt McVicar, Ni Yizhao, Raul Santos-Rodriguez, Tijl De Bie | conference paper | 2011 |
| Using Online Chord Databases to Enhance Chord Recognition | Matt McVicar, Ni Yizhao, Raul Santos-Rodriguez, Tijl De Bie | journal paper | 2011 |
| Mining the Correlation between Lyrical and Audio Features | Matt McVicar, Tim Freeman, Tijl De Bie | conference paper | 2011 |
| Hit Song Science Once Again a Science? | Yizhao Ni, Raul Santos-RodrÃguez, Matt McVicar, Tijl De Bie | conference paper | 2011 |
| Enhancing Chord Recognition Accuracy using Web Resources | Matt McVicar, Tijl De Bie | conference paper | 2010 |