A Graph Engine for Guitar Chord-Tone Soloing Education
This addresses a specific educational problem for guitar students learning jazz improvisation, but it is incremental as it applies existing graph methods to a new domain.
The paper tackles the difficulty of learning chord tone soloing for guitar students by developing a graph-based engine that computes soloing suggestions, resulting in a system that generates chord-tone soloing lines through shortest path calculations on a weighted graph.
We present a graph-based engine for computing chord tone soloing suggestions for guitar students. Chord tone soloing is a fundamental practice for improvising over a chord progression, where the instrumentalist uses only the notes contained in the current chord. This practice is a building block for all advanced jazz guitar theory but is difficult to learn and practice. First, we discuss methods for generating chord-tone arpeggios. Next, we construct a weighted graph where each node represents a chord tone arpeggio for a chord in the progression. Then, we calculate the edge weight between each consecutive chord's nodes in terms of optimal transition tones. We then find the shortest path through this graph and reconstruct a chord-tone soloing line. Finally, we discuss a user-friendly system to handle input and output to this engine for guitar students to practice chord tone soloing.