Clone a voice in 5 seconds to generate arbitrary speech in real-time

Realtime-Voice-Clone-Chinese

This repository is forked from Real-Time-Voice-Cloning which only support English.

? Chinese supported mandarin and tested with dataset: aidatatang_200zh

? PyTorch worked for pytorch, tested in version of 1.9.0(latest in August 2021), with GPU Tesla T4 and GTX 2060

? Windows + Linux tested in both Windows OS and linux OS after fixing nits

? Easy & Awesome effect with only newly-trained synthesizer, by reusing the pretrained encoder/vocoder

Follow the original repo to test if you got all environment ready.
**Python 3.7 or higher ** is needed to run the toolbox.

Install PyTorch.
Install ffmpeg.
Run pip install -r requirements.txt to install the remaining necessary packages.

Download aidatatang_200zh dataset and unzip: make sure you can access all .wav in train folder
Preprocess with the audios and the mel spectrograms:
python synthesizer_preprocess_audio.py <datasets_root>
Preprocess the embeddings:
python synthesizer_preprocess_embeds.py <datasets_root>/SV2TTS/synthesizer
Train the synthesizer:
python synthesizer_train.py mandarin <datasets_root>/SV2TTS/synthesizer
Go to next step when you see attention line show and loss meet your need in training folder synthesizer/saved_models/.

FYI, my attention came after 18k steps and loss became lower than 0.4 after 50k steps.

You can then try the toolbox:

python demo_toolbox.py -d <datasets_root>
or
python demo_toolbox.py