Handles riff repetition with variation – a key property of riffs (not just random notes). 3. Transformer-Based Approach (State-of-the-Art) Title: GTR-CTRL: Instrument and Genre Conditioning for Guitar Tablature Generation Authors: P. Sarmento, et al. (2022, arXiv) Key Idea: Uses a Transformer XL model trained on thousands of Guitar Pro files, with conditioning on tuning, genre, and tempo.
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. 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. Handles riff repetition with variation – a key
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. Sarmento, et al