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Distance-based versus Tree-based Key Recognition in Musical Audio

A new 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. Results are compared with distance-based methods. Examples are given of the characteristics of the new tonality analysis tool. The potential of this method as a building stone in a music retrieval system is discussed.