The voice changer you love, directly inside OBS via audio filters. No more Python scripts or virtual cables hassle.

Working in progress...

The plugin works, with approximately the same performance as the PyTorch implementation.

However, I need help on the following topics:

I thought TensorRT would work, but it doesn't. It seems the ContentVec / RMVPE / model contains several operations that would force ONNXRuntime to do them in the CPU. At this point, I have no idea what to do next, and I don't know whether I should continuously use ONNX or not. After all, the DLL dependency of ONNXRuntime is not versioned correctly and it is a PITA combining it with other ML related plugins.

I might be better off using huggingface/candle or Burn or Luminal, both performance-wise and ease of use. The ONNX is not delivering the performance I was looking for.

On the other hand, there are still a few bugs in this implementation. The voice is not fluent enough compared to the PyTorch + WASAPI implementation. I have done everything I can do, but it cannot be eliminated entirely. Also, the RMS mix is not working as expected. As long as I enable that, some words and phrases will be cut off, and when I give a rate like 0.5, the volume will go to a weird level. However, the RMS mix function is mathematically correct compared to Python side.