Summary of From Midi to Rich Tablatures: An Automatic Generative System Incorporating Lead Guitarists’ Fingering and Stylistic Choices, by Pierluigi Bontempi (unipd) et al.
From MIDI to Rich Tablatures: an Automatic Generative System incorporating Lead Guitarists’ Fingering and Stylistic choices
by Pierluigi Bontempi, Daniele Manerba, Alexandre D’Hooge, Sergio Canazza
First submitted to arxiv on: 12 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Optimization and Control (math.OC)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes a system that generates tablatures for lead electric guitar melodies, including fingerings, articulations, and expressive techniques. The system uses a constrained optimization problem to determine the best fingering position, considering statistical data from the mySongBook corpus, common clichés, biomechanical feasibility, and expressiveness. The output is converted to MusicXML format, enabling easy visualization and use. This approach has implications for instrumental teaching, assisted composition and arranging, and computational expressive music performance models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper makes a system that creates guitar tablatures with fingerings, articulations, and expression. It uses math to find the best way to play the notes, considering what people usually do and how their bodies work. The result is easy to see and use. This helps teachers, composers, and musicians make better music. |
Keywords
» Artificial intelligence » Optimization
