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.
CITATION STYLE
Catteau, B., Martens, J. P., & Leman, M. (2007). A probabilistic framework for audio-based tonal key and chord recognition. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 637–644). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-540-70981-7_73
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