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.
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
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. Donahue, et al
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
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.
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.
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.
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.
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.
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.