Efficient and robust implementation of seq-to-seq automatic piano transcription.
Requires Python 3.11
git clone https://github.com/EleutherAI/aria-amt.git
cd aria-amt
pip install -e .
Download the preliminary model weights:
Piano (v1)
wget https://storage.googleapis.com/aria-checkpoints/amt/piano-medium-double-1.0.safetensors
You can download mp3s from youtube using yt-dlp:
yt-dlp --audio-format mp3 --extract-audio --no-playlist --audio-quality 0 <youtube-link> -o <save-path>
You can then transcribe using the cli:
aria-amt transcribe \
medium-double \
<path-to-checkpoint> \
-load_path <path-to-audio> \
-save_dir <path-to-save-dir> \
-bs 1 \
-compile
If you want to do batch transcription, use the -load_dir
flag and adjust -bs
accordingly. Compiling and may take some time, but provides a significant speedup. Quantizing (-q8
flag) further speeds up inference when the -compile
flag is also used.
NOTE: Int8 quantization is only supported on GPUs that support BF16.