ResearchResearch paperSpeech & Audio · Large Language Models · Efficiency & Inference1 source · Oct 4, 2026

SheetSage2: Coherent Lead-Sheet Transcription with Synthetic Supervision

We present SheetSage2, a unified music transcription framework that combines synthetic data, task-specific structured decoding, and autoregressive distillation.

Key points

  • Transcribing music into a human-readable score requires a coherent understanding of rhythm, harmony, melody, and form.
  • Automatically annotated MIDI, rendered into audio, provides scalable supervision across music understanding tasks.
  • Task-specific structured decoders integrate complementary musical cues and their temporal dependencies to produce musically coherent scores.
  • Autoregressive distillation further retains transcription accuracy without task-specific dynamic programming at inference.

Sources (1)

  • [1]SheetSage2: Coherent Lead-Sheet Transcription with Synthetic Supervision
    Hugging Face Daily Papers · Oct 4, 12:00 AM
    We present SheetSage2, a unified music transcription framework that combines synthetic data, task-specific structured decoding, and autoregressive distillation.
    Transcribing music into a human-readable score requires a coherent understanding of rhythm, harmony, melody, and form.

Extractive summary: sentences quoted from the sources.

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