Create an ONNX model that performs ISTFT

If you want to stay with the ONNX stack, and you don't want to pull-in external dependencies for ISTFT, then this is for you.

Note that this is at least 4x slower than torch istft implementation, but the ISTFT overhead is negligible anyways.

Usage

Install requirements:

pip3 install -r requirements.txt

Run the script:

python3 istft_onnx.py

Make sure to correctly specify your ISTFT parameters.

You should also specify the maximom number of frames the exported model will operate on by specifying --max-frames parameters. By default it is set to 5200 (around 60 seconds for 22.05KHz sample rate).

The model is designed around the output of Vocos vocoder. Please change the inputs based on your needs. Most likely, you need to input mag and phase.

License

See the source file for more details.