Expand description
Measuring how well the correctors do: music21’s omr.evaluators. A
score read by optical music recognition is held to the same score
entered by hand, its ground truth, by how many measures’ rhythms differ.
Structs§
- Evaluation
- What
evaluate_correcting_modelfinds: music21’s dictionary of the same. - OmrGround
Truth Pair - A score read by optical music recognition and its ground truth, each
ready to be corrected: music21’s
OmrGroundTruthPair.
Functions§
- auto_
correlation_ best_ measure - How many measures not flagged have their rhythm somewhere else – in
another measure of their part, or at the same place in another part –
out of how many there are: music21’s
autoCorrelationBestMeasure, as(measures, matches). - evaluate_
correcting_ model - Corrects a recognised score and measures it against its ground truth
before and after: music21’s
evaluateCorrectingModel. Measures are flagged against each one’s own time signature;original_differencesstands for the distance before, where it is known. - min_
edit_ distance - How many measures it takes to turn one list of measure rhythms into
another, a measure put in or left out costing one and one replaced two:
music21’s
minEditDist.