bytedance/piano_transcription
None observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2198
- days_rel: n/a
- days_push: 1111
- n_releases_24m: 0
Adoption not part of the score
2021 stars · 259 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A PyTorch implementation of ByteDance's high-resolution piano transcription system that converts piano audio recordings into MIDI files. It includes a pretrained model for inference and training code based on the MAESTRO dataset.
Use cases
- convert piano recordings to MIDI files
- transcribe piano audio into note events
- train a piano transcription model from scratch
- extract MIDI from piano performance audio
- run audio-to-MIDI transcription on GPU
When to choose
- you need to transcribe solo piano recordings into MIDI
- you want a pretrained high-resolution transcription model
- you want to reproduce or extend research on piano transcription
When to avoid
- you need transcription of non-piano instruments or polyphonic general music
- you need an actively maintained project with recent updates
- you need a production service without any ML setup
Facets
library · maturity maintenance
machine-learning audio-processing deep-learning machine-learning python cli pytorch piano-transcription audio-to-midi pretrained-model music-transcription audio music-information-retrieval gpu
1 source
- readme: https://github.com/bytedance/piano_transcription · fetched 2026-08-28 · eaae15dc1365
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| bytedance/piano_transcription | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="bytedance/piano_transcription")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem