If your dataset is a long audio file with multiple speakers, use svc pre-sd to split the dataset into multiple files (using dio).If your dataset is a long audio file with a single speaker, use svc pre-split to split the dataset into multiple files (using librosa).3_HP-Vocal-UVR.pth or UVR-MDX-NET Main is recommended. If your dataset has BGM, please remove the BGM using software such as Ultimate Vocal Remover.If it does not work, try CPU inference as it is fast enough. GPU inference requires at least 4 GB of VRAM.Models other than for 4.0v1 or this repository are not supported.Consider using realtime noise reduction applications such as RTX Voice in this case. In real-time inference, if there is noise on the inputs, the HuBERT model will react to those as well. ![]() ![]() If using WSL, please note that WSL requires additional setup to handle audio and the GUI will not work without finding an audio device.Pretrained models are available on Hugging Face or CIVITAI.
0 Comments
Leave a Reply. |