A two-stage framework uses an LLM to plan musical structures from text and then generates conditioned ABC notation sheet music, outperforming baselines in expert-validated evaluations.
Generating symbolic music from natural language prompts using an llm-enhanced dataset
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 3verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
Libretto is a new agent-facing symbolic music framework that equips LLMs with explicit grammar and corpus-calibrated statistical axes to enable measurable generation, gap-filling, morphing, and self-revision.
Transcoda achieves state-of-the-art zero-shot OMR with an 18.46% OMR-NED error rate on synthetic scores and 63.97% on historical Polish scans using a 59M model trained in 6 hours via synthetic data, kern normalization, and grammar decoding.
citing papers explorer
-
Text2Score: Generating Sheet Music From Textual Prompts
A two-stage framework uses an LLM to plan musical structures from text and then generates conditioned ABC notation sheet music, outperforming baselines in expert-validated evaluations.
-
Libretto: Giving LLM Agents a Sense of Musical Structure
Libretto is a new agent-facing symbolic music framework that equips LLMs with explicit grammar and corpus-calibrated statistical axes to enable measurable generation, gap-filling, morphing, and self-revision.
-
Transcoda: End-to-End Zero-Shot Optical Music Recognition via Data-Centric Synthetic Training
Transcoda achieves state-of-the-art zero-shot OMR with an 18.46% OMR-NED error rate on synthetic scores and 63.97% on historical Polish scans using a 59M model trained in 6 hours via synthetic data, kern normalization, and grammar decoding.