Abstract
In this overview article, we review research on the task of Automatic Chord Estimation (ACE). The major contributions from the last 14 years of research are summarized, with detailed discussions of the following topics: feature extraction, modeling strategies, model training and datasets, and evaluation strategies. Results from the annual benchmarking evaluation Music Information Retrieval Evaluation eXchange (MIREX) are also discussed as well as developments in software implementations and the impact of ACE within MIR. We conclude with possible directions for future research.
| Original language | English |
|---|---|
| Pages (from-to) | 556-575 |
| Number of pages | 20 |
| Journal | IEEE Transactions on Audio, Speech, and Language Processing |
| Volume | 22 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
Keywords
- Expert systems
- Knowledge based systems
- Machine learning
- Music information retrieval
- Supervised learning
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Professor Raul Santos-Rodriguez
- Engineering Faculty Office - Academic Co Director (Engineering) for BDFI
- School of Engineering Mathematics and Technology - Professor of Data Science and Intelligent Systems
Person: Academic