A probabilistic framework for audio-based tonal key and chord recognition
- Author
- Benoit Catteau (UGent) , Jean-Pierre Martens (UGent) and Marc Leman (UGent)
- Organization
- Abstract
- A unified probabilistic framework for audio-based chord and tonal key recognition is described and evaluated. The proposed framework embodies an acoustic observation likelihood model and key & chord transition models. It is shown how to conceive these models and how to use music theory to link key/chord transition probabilities to perceptual similarities between keys/chords. The advantage of a theory based model is that it does not require any training, and consequently, that its performance is not affected by the quality of the available training data.
- Keywords
- ALGORITHM
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-386772
- MLA
- Catteau, Benoit, et al. “A Probabilistic Framework for Audio-Based Tonal Key and Chord Recognition.” ADVANCES IN DATA ANALYSIS, edited by R Decker and HJ Lenz, Springer, 2007, pp. 637–44, doi:10.1007/978-3-540-70981-7_73.
- APA
- Catteau, B., Martens, J.-P., & Leman, M. (2007). A probabilistic framework for audio-based tonal key and chord recognition. In R. Decker & H. Lenz (Eds.), ADVANCES IN DATA ANALYSIS (pp. 637–644). https://doi.org/10.1007/978-3-540-70981-7_73
- Chicago author-date
- Catteau, Benoit, Jean-Pierre Martens, and Marc Leman. 2007. “A Probabilistic Framework for Audio-Based Tonal Key and Chord Recognition.” In ADVANCES IN DATA ANALYSIS, edited by R Decker and HJ Lenz, 637–44. Berlin, Germany: Springer. https://doi.org/10.1007/978-3-540-70981-7_73.
- Chicago author-date (all authors)
- Catteau, Benoit, Jean-Pierre Martens, and Marc Leman. 2007. “A Probabilistic Framework for Audio-Based Tonal Key and Chord Recognition.” In ADVANCES IN DATA ANALYSIS, ed by. R Decker and HJ Lenz, 637–644. Berlin, Germany: Springer. doi:10.1007/978-3-540-70981-7_73.
- Vancouver
- 1.Catteau B, Martens J-P, Leman M. A probabilistic framework for audio-based tonal key and chord recognition. In: Decker R, Lenz H, editors. ADVANCES IN DATA ANALYSIS. Berlin, Germany: Springer; 2007. p. 637–44.
- IEEE
- [1]B. Catteau, J.-P. Martens, and M. Leman, “A probabilistic framework for audio-based tonal key and chord recognition,” in ADVANCES IN DATA ANALYSIS, Berlin, Germany, 2007, pp. 637–644.
@inproceedings{386772,
abstract = {{A unified probabilistic framework for audio-based chord and tonal key recognition is described and evaluated. The proposed framework embodies an acoustic observation likelihood model and key & chord transition models. It is shown how to conceive these models and how to use music theory to link key/chord transition probabilities to perceptual similarities between keys/chords. The advantage of a theory based model is that it does not require any training, and consequently, that its performance is not affected by the quality of the available training data.}},
author = {{Catteau, Benoit and Martens, Jean-Pierre and Leman, Marc}},
booktitle = {{ADVANCES IN DATA ANALYSIS}},
editor = {{Decker, R and Lenz, HJ}},
isbn = {{9783540709800}},
issn = {{1431-8814}},
keywords = {{ALGORITHM}},
language = {{eng}},
location = {{Berlin, Germany}},
pages = {{637--644}},
publisher = {{Springer}},
title = {{A probabilistic framework for audio-based tonal key and chord recognition}},
url = {{http://dx.doi.org/10.1007/978-3-540-70981-7_73}},
year = {{2007}},
}
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