Abstract
A tree-based method for the recognition of the tonal center or key in a musical audio signal is presented. Time-varying key feature vectors of 264 synthesized sounds are extracted from an auditory-based pitch model and converted into character strings using PCA-analysis and classification trees. The results are compared with distance-based methods. The characteristics of the new tonality analysis tool are illustrated on various examples. The potential of this method as a building stone in a music retrieval system is discussed.
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Martens, G., De Meyer, H., De Baets, B. et al. Tree-based versus distance-based key recognition in musical audio. Soft Comput 9, 565–574 (2005). https://doi.org/10.1007/s00500-004-0374-7
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DOI: https://doi.org/10.1007/s00500-004-0374-7