@ARTICLE{Kania_Dariusz_A_2019,
 author={Kania, Dariusz and Kania, Paulina},
 volume={vol. 44},
 number={No 3},
 journal={Archives of Acoustics},
 pages={447-457},
 howpublished={online},
 year={2019},
 publisher={Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics},
 abstract={The paper presents the key-finding algorithm based on the music signature concept. The proposed music signature is a set of 2-D vectors which can be treated as a compressed form of representation of a musical content in the 2-D space. Each vector represents different pitch class. Its direction is determined by the position of the corresponding major key in the circle of fifths. The length of each vector reflects the multiplicity (i.e. number of occurrences) of the pitch class in a musical piece or its fragment. The paper presents the theoretical background, examples explaining the essence of the idea and the results of the conducted tests which confirm the effectiveness of the proposed algorithm for finding the key based on the analysis of the music signature. The developed method was compared with the key-finding algorithms using Krumhansl-Kessler, Temperley and Albrecht-Shanahan profiles. The experiments were performed on the set of Bach preludes, Bach fugues and Chopin preludes.},
 type={Article},
 title={A Key-Finding Algorithm Based on Music Signature},
 URL={http://ochroma.man.poznan.pl/Content/112807/PDF/aoa.2019.129260.pdf},
 doi={10.24425/aoa.2019.129260},
 keywords={music information retrieval, computational music cognition, music data mining, music visualisation},
}