Transcoda — End-to-end zero-shot optical music recognition via data-centric synthetic training.
An optical music recognition system built around synthetic data generation, normalized Humdrum **kern output, and grammar-based decoding for syntactically valid transcriptions.
A compact 59M-parameter model trained in six hours on a single GPU, outperforming billion-parameter baselines on synthetic and historical scan benchmarks.
