Open source AI Voice Generation & Conversion Tools
By 2026, the open-source AI speech generation (TTS) and translation (VC) field had completed its transformation from "competing on model scale" to "competing on emotional depth and inference efficiency." Currently, the most advanced projects are mainly based on dual-autoregressive (DAR) architectures or flow matching techniques.
This webpage compiles a list of open-source AI speech generation (TTS) and voice conversion (VC) tools available online. It also provides information on recent updates and popularity of these tools.
GPT-SoVITS
TTS & Voice Cloning
One of the most popular projects in the Chinese community. A stunning model can be trained from just 1 minute of dry audio footage. Applications: Anime voice acting, personal digital avatars, audiobook production.
ChatTTS
TTS & Voice Cloning
Features: Specifically optimized for "dialogue scenarios", it can automatically add colloquial markers such as [laughter] and [break] to the speech.
Retrieval-based Voice Conversion (RVC)
RVC & Enhancement
"A real-time voice changer can transform your voice into anyone's voice (such as a singer or anime character) in real time. Applications: live voice changing, cover song production."
Fish Speech
TTS & Voice Cloning
A leading TTS built on SFT and LLM. It can achieve extremely high-similarity voice cloning and supports multilingual, real-time inference. Thanks to its LLM-like architecture, its intonation and emotional expression are very close to those of a real person.
0
RVC & Enhancement
CosyVoice 2
Voice interaction framework
"Alibaba's open-source multimodal speech model enables zero-shot cloning, long text reading, and cross-language translation."
Piper
Voice interaction framework
Ultra-lightweight TTS, ideal for use on Raspberry Pi, Android, or embedded devices.
Moshi
Voice interaction framework
End-to-end dialogue audio model, scenario: true real-time interaction, AI can listen and speak simultaneously without being interrupted.
DeepFilterNet
RVC & Enhancement
Features: Extremely powerful open-source noise reduction algorithm. It can accurately extract human voices from very noisy environments. Applications: Podcast post-processing, video call noise reduction.
Voxtral (by Mistral)
TTS & Voice Cloning
Positioning: Mistral's open-source speech model outperforms ElevenLabs in European languages.
OpenVPI / Diff-SVC
RVC & Enhancement
"Advantages: Based on a diffusion model, it can perfectly reproduce complex vocal transitions. If you're working on an \"AI singer\" project, this is the core framework."