mahdeslami11 / -an-end-to-end-speech-to-speech-translation-model

Streamlit App: An-End-to-End-Speech-to-Speech-Translation-Model

This repository 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.txt to install the remaining necessary packages.

2. Download Pretrained Models

Download the latest here.

3. Run App

• streamlit run demo_voice.py