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fhieni/
Vietnamese_VITS

Name: Vietnamese_VITS
Availability: InStock

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Vietnamese Voice Clone

Data Preparation

If you use custom data

Config your custom data follow this format:
- Create folder: DATA
- Subfolder: DATA/wavs -> which contain <audio_id>.wav files inside
- DATA/train.txt and DATA/val.txt: with format each line follow format: <audio_id>transcript
If you dont have transcript, please check wav2vec inference script

If you try with VIVOS

wget http://ailab.hcmus.edu.vn/assets/vivos.tar.gz
tar xzf vivos.tar.gz

mkdir -p DATA/wavs
scp -v vivos/*/waves/*/*.wav DATA/wavs

cat vivos/test/prompts.txt > DATA/val.txt
cat vivos/test/prompts.txt > DATA/train.txt
cat vivos/train/prompts.txt >> DATA/train.txt

Install environment

conda create -y -n viclone python=3.8
conda activate viclone
conda install cudatoolkit=11.3.1 cudnn=8.2.1

python -m pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu116
python -m pip install -r requirements.txt

cd vits/monotonic_align
mkdir monotonic_align
python setup.py build_ext --inplace

Process data

python Step1_data_processing.py

Extract feature

python Step2_extract_feature.py

Train model

python train_ms.py -c configs/vivos.json -m vivos

Demo

python app.py

Then check port: http://127.0.0.1:7860/

fhieni/Vietnamese_VITS