Without this dataset, you can’t train a supervised riff generator. Mandatory reading. 6. Practical Implementation Reference (Code + Paper) Title: MuseGuitar: Guitar Tablature Generation with Attention and Pitch-Shift Augmentation Venue: ICASSP 2023 workshop Key Idea: Encoder-decoder with pitch-shift data augmentation to avoid overfitting to key signatures.
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) | guitar riff generator
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. Without this dataset, you can’t train a supervised
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. Here are the most directly applicable ones, ranging
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.
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.