This tutorial demonstrates how a simple voice transfer app can be created using Streamlit. The code for this demo is based on the repository for Real-Time-Voice-Cloning.
This app allows you to:
- Record your voice
- Visualize the embedding of the speaker
- Synthesize speech based on the recorded voice
Setup
1. Install Requirements
Python 3.6 or 3.7 is needed
- Create your virtual environment (e.g. pipenv, poetry or venv).
- Install PyTorch (>=1.0.1).
- Install ffmpeg.
- Run
pip install -r requirements_demo.txtto install the remaining necessary packages.
2. Download Pretrained Models
Download the latest here.
3. Launch streamlit demo
streamlit run demo_voice.py
The code
[
GitHub - datarootsio/tutorial-streamlit-demo
Contribute to datarootsio/tutorial-streamlit-demo development by creating an account on GitHub.
GitHubdatarootsio
](https://github.com/datarootsio/tutorial-streamlit-demo)
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