  Chord diagrams are used by guitar players to show where and how to play a
chord on the fretboard. They are useful to beginners learning chords or for
sharing the hand positions required to play a song.However, the diagrams
presented on guitar learning toolsare usually selected from an existing
databaseand rarely represent the actual positions used by performers.In this
paper, we propose a tool which suggests a chord diagram for achord label,taking
into account the diagram of the previous chord.Based on statistical analysis of
the DadaGP and mySongBook datasets, we show that some chord diagrams are
over-represented in western popular musicand that some chords can be played in
more than 20 different ways.We argue that taking context into account can
improve the variety and the quality of chord diagram suggestion, and compare
this approach with a model taking only the current chord label into account.We
show that adding previous context improves the F1-score on this task by up to
27% and reduces the propensity of the model to suggest standard open chords.We
also define the notion of texture in the context of chord diagrams andshow
through a variety of metrics that our model improves textureconsistencywith the
previous diagram.
