AEmotionStudio commited on
Commit
40d88f4
·
verified ·
1 Parent(s): a1be8a2

Mirror loubb/aria-midi :: piano-medium-double-1.0 for MAESTRO

Browse files
Files changed (2) hide show
  1. README.md +51 -0
  2. piano-medium-double-1.0.safetensors +3 -0
README.md ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ language:
4
+ - en
5
+ tags:
6
+ - music
7
+ - midi
8
+ - audio-to-midi
9
+ - piano-transcription
10
+ - aria-amt
11
+ - automatic-music-transcription
12
+ ---
13
+
14
+ # Aria-AMT Mirror
15
+
16
+ Mirror of the [EleutherAI Aria-AMT](https://github.com/EleutherAI/aria-amt)
17
+ piano transcription checkpoint (`piano-medium-double-1.0.safetensors`),
18
+ re-hosted from [loubb/aria-midi](https://huggingface.co/datasets/loubb/aria-midi)
19
+ for use in the [MAESTRO AI Workstation](https://github.com/AEmotionStudio).
20
+
21
+ ## What this model does
22
+
23
+ **Audio → MIDI piano transcription.** Takes an audio recording of a piano
24
+ performance (mp3, wav, flac) and outputs a MIDI file with notes, timings,
25
+ velocities, and pedal events. State-of-the-art quality for solo piano —
26
+ comparable to or better than Magenta's classic Onsets-and-Frames.
27
+
28
+ ## Architecture
29
+
30
+ Sequence-to-sequence transcription model. Variant: `medium-double` —
31
+ the standard Aria-AMT v1.0 release.
32
+
33
+ ## License
34
+
35
+ **Apache-2.0** — commercial-use OK.
36
+
37
+ ## Usage in MAESTRO
38
+
39
+ Loaded by `backend/ai/models/aria_amt.py`; surfaced in the AI Workstation's
40
+ `TranscribePanel` under the "Piano" mode tab.
41
+
42
+ ## Citation
43
+
44
+ ```
45
+ @misc{bradshaw2024ariaamt,
46
+ title={Aria-AMT: Efficient and robust automatic piano transcription},
47
+ author={Louis Bradshaw and EleutherAI},
48
+ year={2024},
49
+ url={https://github.com/EleutherAI/aria-amt},
50
+ }
51
+ ```
piano-medium-double-1.0.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:089d3129dbe93246aeda55efe668c8a48af08afaf9dd15c64cef0a07c0fb30a4
3
+ size 446577344