A local SV2TTS toolbox and CLI for cloning a voice from a short audio sample and synthesizing arbitrary text in real time. Adopt it for local experiments or workflows that accept an older voice-cloning approach; do not select it when current high-quality production audio is required.
Project overview
A local SV2TTS toolbox and CLI for cloning a voice from a short audio sample and synthesizing arbitrary text in real time. Adopt it for local experiments or workflows that accept an older voice-cloning approach; do not select it when current high-quality production audio is required.
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 who need a local GUI or CLI workflow to experiment with cloned text-to-speech from short reference audio.
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 toolbox for running the voice-cloning process interactively.
Runs synthesis from the command line without using the GUI.
Automatically downloads the pretrained models required for synthesis.
Limitations and risks
The repository has aged, and many SaaS applications may provide better audio quality.
The project uses older techniques; the author recommends checking Papers with Code or Chatterbox for 2025 state-of-the-art options.
Getting started
Install ffmpeg and uv, then run demo_toolbox.py for the GUI or demo_cli.py for command-line use. Pretrained models are downloaded automatically.
Evidence and sources
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.