FWIW this RCLI is only MIT license but their engine MetalRT is commercial. Not sure the license of their models I guess also not MIT. So IMHO this repo is misleading.
Not sure why they decided to reinvent the wheel and write yet another ML engine (MetalRT) which is proprietary. I would most likely bet on CoreML since it have support for ANE (apple NPU) or MLX.
Other popular repos for such tasks I would recommend:
Not sure why they decided to reinvent the wheel and write yet another ML engine (MetalRT) which is proprietary. I would most likely bet on CoreML since it have support for ANE (apple NPU) or MLX.
Other popular repos for such tasks I would recommend:
https://github.com/FluidInference/FluidAudio
https://github.com/DePasqualeOrg/mlx-swift-audio
https://github.com/Blaizzy/mlx-audio
https://github.com/k2-fsa/sherpa-onnx