Audio
TTS-WebUI
One Gradio + React WebUI for dozens of TTS, voice-cloning and music models — Bark to Kokoro.
★ 3.3k starsMIT
View guide →A pure C++ ggml inference engine for audio models — TTS, STT, VAD, voice conversion and music.
audio.cpp is an open-source audio project by 0xShug0 (0xShug0/audio.cpp on GitHub). It has 3,384 GitHub stars and 390 forks, is released under the NOASSERTION license, and was last updated on GitHub on 8 October 2026.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
TTS, STT/ASR, VAD, voice conversion, music generation and speech-to-speech in a single native stack.
A large supported-model catalogue (including Qwen3 TTS/ASR and ACE-Step lines) plus community models, in GGUF form.
CUDA, HIP/ROCm, Vulkan, Metal and CPU behind the same CLI and server.
audiocpp_model_manager lists and installs models into a models directory.
Run audiocpp_server with a WebUI and management interface for shared/team use.
Built-in denoise, enhancement, resampling and STFT/ISTFT utilities, plus experimental JSON pipelines for multi-step workflows.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/0xShug0/audio.cpp.git
cd audio.cppOn macOS/Linux, install the prebuilt package from the project's tap.
brew tap 0xShug0/audio-cpp
brew trust 0xShug0/audio-cpp
brew install audio-cppDownload a model with the manager, then start the server with its WebUI.
audiocpp_model_manager install qwen3_asr_0_6b_q8_0 --models-dir models
audiocpp_server --ui --ui-management --backend cuda # adjust backend to your hardwareIt is maintained by 0xShug0 on GitHub (0xShug0/audio.cpp), where the source, issues and releases live.
No clear licence was identified from the repo metadata or README, so check the repository's licence file before relying on it commercially.
No API key at all — models run locally; you download open model weights (each keeping its own licence) with the model manager.
Compared with Python audio stacks built per-model (e.g. separate TTS/ASR repos), audio.cpp's distinguishing focus is: a pure C++ ggml inference engine for audio models — TTS, STT, VAD, voice conversion and music. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/0xShug0/audio.cpp (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
One Gradio + React WebUI for dozens of TTS, voice-cloning and music models — Bark to Kokoro.
GPA — one tiny model that does ASR, TTS and voice conversion (General Purpose Audio).
Vietnamese TTS with instant voice cloning — on-device, real-time CPU inference, 48 kHz audio
Benchmark voice-cloning robustness across 32 TTS/VC models.
Open research toolkit for text-to-speech, voice conversion, singing voice and text-to-audio generation.
MARS5 speech model from CAMB.AI — clone a voice from 5 seconds of audio with striking prosody
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if audio.cpp is not the right fit.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Free and open — grab the source, star the repo, and start creating.