Deep Learning Framework
59.7k 2026-05-01
CorentinJ/Real-Time-Voice-Cloning
A deep learning framework for real-time voice cloning and text-to-speech synthesis from short audio samples.
Core Features
Real-time voice cloning from just 5 seconds of audio.
Generates arbitrary speech using cloned voices.
Implements the three-stage SV2TTS deep learning framework.
Provides both a graphical user interface (toolbox) and command-line interface.
Supports Windows and Linux operating systems.
Quick Start
pip install -U uv && uv run --extra cuda demo_toolbox.pyDetailed Introduction
This project offers an open-source implementation of the SV2TTS deep learning framework, enabling real-time voice cloning and text-to-speech synthesis. It allows users to create a digital voice representation from minimal audio input and subsequently generate custom speech. While acknowledged as an older implementation compared to contemporary commercial solutions, it serves as a valuable academic and experimental tool for exploring advanced speech synthesis technologies, complete with a user-friendly toolbox for practical application.