Retrieval-based-Voice-Conversion
Input
Audio file
https://github.com/axinc-ai/ailia-models/assets/29946532/689bba85-b894-4645-bd2a-8abf928733db
(Audio from https://github.com/ohashi3399/RVC-demo)
Output
Audio file
https://github.com/axinc-ai/ailia-models/assets/29946532/5c036243-a93b-4627-acf0-90bdb911daee
Requirements
This model requires additional module.
pip3 install librosa
pip3 install soundfile
pip3 install faiss-cpu==1.7.3
pip3 install pyworld==0.3.2
Usage
Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.
For the sample wav,
$ python3 rvc.py
If you want to specify the audio, put the file path after the --input option.
$ python3 rvc.py --input AUDIO_FILE
By adding the --model_file option, you can specify vc model file.
$ python3 rvc.py --model_file AISO-HOWATTO.onnx
Specify the f0 option to infer a model that uses f0. You can choice crepe or crepe_tiny for f0_method.
python3 rvc.py -i booth.wav -m Rinne.onnx --f0_method crepe_tiny --f0 1 --f0_up_key 11 --tgt_sr 48000
By adding the --file_index option, you can specify faiss feature file.
python3 rvc.py -i booth.wav -m Rinne.onnx --f0_method crepe --f0 1 --f0_up_key 11 --tgt_sr 48000 --file_index Rinne.index --index_rate 0.75
By adding the --version option, you can specify rvc model file version.
$ python3 rvc.py --model_file rvc_v2.onnx --version 2
Reference
Framework
Pytorch
Model Format
ONNX opset=14