A unified Transformer model with modality-specific tokenization, trained on a new 1300-hour multimodal music dataset, outperforms single-task baselines on optical music recognition and other translations while achieving the first score-image-conditioned audio generation.
Reconvat: A semi-supervised automatic music transcription framework for low-resource real-world data
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Unified Cross-modal Translation of Score Images, Symbolic Music, and Performance Audio
A unified Transformer model with modality-specific tokenization, trained on a new 1300-hour multimodal music dataset, outperforms single-task baselines on optical music recognition and other translations while achieving the first score-image-conditioned audio generation.