| --- |
| license: apache-2.0 |
| language: |
| - en |
| tags: |
| - music |
| - midi |
| - audio-to-midi |
| - piano-transcription |
| - aria-amt |
| - automatic-music-transcription |
| --- |
| |
| # Aria-AMT Mirror |
|
|
| Mirror of the [EleutherAI Aria-AMT](https://github.com/EleutherAI/aria-amt) |
| piano transcription checkpoint (`piano-medium-double-1.0.safetensors`), |
| re-hosted from [loubb/aria-midi](https://huggingface.co/datasets/loubb/aria-midi) |
| for use in the [MAESTRO AI Workstation](https://github.com/AEmotionStudio). |
|
|
| ## What this model does |
|
|
| **Audio → MIDI piano transcription.** Takes an audio recording of a piano |
| performance (mp3, wav, flac) and outputs a MIDI file with notes, timings, |
| velocities, and pedal events. State-of-the-art quality for solo piano — |
| comparable to or better than Magenta's classic Onsets-and-Frames. |
|
|
| ## Architecture |
|
|
| Sequence-to-sequence transcription model. Variant: `medium-double` — |
| the standard Aria-AMT v1.0 release. |
|
|
| ## License |
|
|
| **Apache-2.0** — commercial-use OK. |
|
|
| ## Usage in MAESTRO |
|
|
| Loaded by `backend/ai/models/aria_amt.py`; surfaced in the AI Workstation's |
| `TranscribePanel` under the "Piano" mode tab. |
|
|
| ## Citation |
|
|
| ``` |
| @misc{bradshaw2024ariaamt, |
| title={Aria-AMT: Efficient and robust automatic piano transcription}, |
| author={Louis Bradshaw and EleutherAI}, |
| year={2024}, |
| url={https://github.com/EleutherAI/aria-amt}, |
| } |
| ``` |
|
|
