A toolbox and CLI for cloning a voice from a few seconds of audio and synthesizing arbitrary speech in real-time using the SV2TTS deep learning framework. It is a research implementation intended for local execution and is acknowledged by its author as an aging project that does not represent current state-of-the-art audio quality.
Project overview
It implements real-time voice cloning directly from brief audio samples using pretrained models, providing a local toolkit for direct speaker voice encoding and text-to-speech synthesis.
Project type
Model Runtime · Audio & Speech
Use cases
Audio & Speech
Deployment
Refer to project documentation
License
License pending
Best for
AI engineers, developers, and researchers studying or experimenting with real-time voice cloning and the SV2TTS framework locally.
Users needing an interactive toolbox or CLI to generate synthetic speech from brief audio samples without writing custom code.
Key capabilities
Creates a digital representation of a speaker's voice from a few seconds of audio.
Generates arbitrary speech from text using a reference voice representation.
Provides a graphical user interface for running the voice cloning process interactively.
Allows users to run the synthesis process directly from the command line without the GUI.
Automatically downloads required pretrained models to run the synthesis.
Limitations and risks
The repository has gotten old and many SaaS apps will provide better audio quality.
Uses older techniques; the author recommends checking paperswithcode or Chatterbox for current state-of-the-art implementations.
Getting started
Install ffmpeg, install the uv package manager, and run demo_toolbox.py or demo_cli.py. Pretrained models are downloaded automatically.
Alternatives and comparisons
Clones a voice from a short audio sample and generates arbitrary speech in real-time, providing an easy-to-use toolkit supporting Mandarin Chinese and English locally or via a web server.
A tokenizer-free text-to-speech model achieving highly natural multilingual speech synthesis and voice cloning, supporting voice design from text descriptions and style-guided cloning.
A complete local-first voice I/O stack bridging voice cloning, speech generation, and global dictation with agent voice output, serving as an open-source alternative to cloud-dependent studios.
GitHub project description: Clone a voice in 5 seconds to generate arbitrary speech in real-time
README: SV2TTS is a deep learning framework in three stages. In the first stage, one creates a digital representation of a voice from a few seconds of audio. In the second and third stage…
README: this repo has quickly gotten old. Many SaaS apps (often paying) will give you a better audio quality than this repository will. If you wish for an open-source solution with a high…
README: Install [ffmpeg](https://ffmpeg.org/download.html#get-packages). This is necessary for reading audio files.