Includes a GitHub repo with pretrained models for riff generation. Summary Recommendation Table | If you want… | Start with… | |--------------|--------------| | Academic foundation | Generating Guitar Riffs with Deep Learning (Cassotti) | | Rock/metal style | JamBot (Donahue) | | Control over genre/style | GTR-CTRL (Sarmento) | | Loop-based / DAW-friendly | RiffLoop (Hayes) | | Dataset & preprocessing | GuitarSet (Xi) | | Working code to run | MuseGuitar (ICASSP 2023) |
Focuses on loopability – essential for practice tools or DAW plugins. 5. Dataset Paper You’ll Need Title: GuitarSet: A Comprehensive Dataset for Guitar Transcription and Generation Authors: Q. Xi, et al. (ISMIR 2018) Key Idea: 360 minutes of annotated solo guitar recordings with aligned MIDI, tab, and audio. guitar riff generator
Focuses exclusively on guitar-specific phrasing (string bending, slides, palm muting), not just piano-roll melodies. 2. Classic & Highly Cited (General Rock/Metal Riff Generation) Title: JamBot: A Deep Learning System for Generating Rhythm Guitar Parts Authors: C. Donahue, et al. (from Million Song Dataset group) Key Idea: Trains a two-stage LSTM on MIDI guitar tracks from rock and metal songs. Includes a GitHub repo with pretrained models for
While there is no single universally famous paper titled exactly "Guitar Riff Generator" , several highly useful papers cover the topic. Here are the most directly applicable ones, ranging from academic to applied. Title: Generating Guitar Riffs with Deep Learning Authors: G. Cassotti, S. D’Amato (often cited in ISMIR / EvoMUSART) Key Idea: Uses a character-level recurrent neural network (LSTM) on Guitar Pro tablature files to generate riffs in the style of specific artists. or symbolic music generation.
You can condition generation on “blues riff” vs “thrash metal riff” – very practical for a generator. 4. Interactive & Real-Time Riff Generation Title: RiffLoop: A Loop-Based Guitar Riff Generator Authors: B. Hayes, C. Saitis (NIME 2021) Key Idea: Generates 1- or 2-bar riffs that can be looped, with a user-adjustable “groove” parameter.
It looks like you're looking for a paper (or a set of useful references) on , likely in the context of music AI, LSTMs, transformers, or symbolic music generation.