Engraving Oriented Joint Estimation of Pitch Spelling and Local and Global Keys
CoRR(2024)
摘要
We revisit the problems of pitch spelling and tonality guessing with a new
algorithm for their joint estimation from a MIDI file including information
about the measure boundaries. Our algorithm does not only identify a global key
but also local ones all along the analyzed piece. It uses Dynamic Programming
techniques to search for an optimal spelling in term, roughly, of the number of
accidental symbols that would be displayed in the engraved score. The
evaluation of this number is coupled with an estimation of the global key and
some local keys, one for each measure. Each of the three informations is used
for the estimation of the other, in a multi-steps procedure. An evaluation
conducted on a monophonic and a piano dataset, comprising 216 464 notes in
total, shows a high degree of accuracy, both for pitch spelling (99.5
average on the Bach corpus and 98.2
signature estimation (93.0
originally as a backend tool in a music transcription framework, this method
should also be useful in other tasks related to music notation processing.
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