  Although the automatic identification of the optimal fingering for the
performance of melodies on fretted string instruments has already been
addressed (at least partially) in the literature, the specific case regarding
lead electric guitar requires a dedicated approach. We propose a system that
can generate, from simple MIDI melodies, tablatures enriched by fingerings,
articulations, and expressive techniques. The basic fingering is derived by
solving a constrained and multi-attribute optimization problem, which derives
the best position of the fretting hand, not just the finger used at each
moment.Then, by analyzing statistical data from the mySongBook corpus, the most
common clich{\'e}s and biomechanical feasibility, articulations, and expressive
techniques are introduced. Finally, the obtained output is converted into
MusicXML format, which allows for easy visualization and use. The quality of
the tablatures derived and the high configurability of the proposed approach
can have several impacts, in particular in the fields of instrumental teaching,
assisted composition and arranging, and computational expressive music
performance models.
