Abstract
This paper proposes a method to estimate the tonalness of a pitchclass set using transpositional types. For each set under consideration the method uses the corresponding transpositional type to generate note collections from acoustical instrument sounds and subsequently calculates a learned projection of that set into a low-dimensional space. The structure in this representation is then compared to the structure of a low-dimensional tonal key space learned from audio recordings of labeled tonal music. The term tonalness refers to how strongly the input suggests congruence to pitch use distributions in common-practice tonality. The method is tested on pitch-class sets of cardinality 3 and compared with measures from other work.
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İzmirli, Ö. (2009). Estimating the Tonalness of Transpositional Type Pitch-Class Sets Using Learned Tonal Key Spaces. In: Chew, E., Childs, A., Chuan, CH. (eds) Mathematics and Computation in Music. MCM 2009. Communications in Computer and Information Science, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02394-1_14
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DOI: https://doi.org/10.1007/978-3-642-02394-1_14
Publisher Name: Springer, Berlin, Heidelberg
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