a cpp ggml port of "VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech." for use in mobile devices. this is my undergraduate project
46
stars
76
commits
C++
primary language
Aug 24, 2024
updated
a cpp ggml port of "VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech." for use in mobile devices.
Clone and fetch all submodules
git@github.com:maxilevi/vits.cpp.git
cd vits.cpp
git submodule update --init --recursive
Fetch the models
git lfs pull
Alternatively you can export the models yourself from huggingface
pip install -r scripts/requirements.txt
python3 scripts/export_vits.py
To build and run the program you can run:
make
C++
91.6%
Python
7.1%
CMake
1.0%
a cpp ggml port of "VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech." for use in mobile devices. this is my undergraduate project
46
stars
76
commits
C++
primary language
Aug 24, 2024
updated
a cpp ggml port of "VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech." for use in mobile devices.
Clone and fetch all submodules
git@github.com:maxilevi/vits.cpp.git
cd vits.cpp
git submodule update --init --recursive
Fetch the models
git lfs pull
Alternatively you can export the models yourself from huggingface
pip install -r scripts/requirements.txt
python3 scripts/export_vits.py
To build and run the program you can run:
make
C++
91.6%
Python
7.1%
CMake
1.0%