In 1999, Fujishima published Realtime Chord Recognition of Musical Sound: a System using Common Lisp Music. This paper kickstarted an active research topic that has
been popular in and around the ISMIR community. The
field of Automatic Chord Recognition (ACR) has evolved
considerably from early knowledge-based systems towards
data-driven methods, with neural network approaches arguably being central to current ACR research. Nonetheless, many of its core issues were already addressed or referred ...
In 1999, Fujishima published Realtime Chord Recognition of Musical Sound: a System using Common Lisp Music. This paper kickstarted an active research topic that has
been popular in and around the ISMIR community. The
field of Automatic Chord Recognition (ACR) has evolved
considerably from early knowledge-based systems towards
data-driven methods, with neural network approaches arguably being central to current ACR research. Nonetheless, many of its core issues were already addressed or referred to in the Fujishima paper. In this paper, we review
those twenty years of ACR according to these issues. We
furthermore attempt to frame current directions in the field
in order to establish some perspective for future research.
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