Audio
marytts
MaryTTS — open-source, multilingual text-to-speech platform written in pure Java
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View guide →MeloTTS — multilingual text-to-speech for English, Spanish, French, Chinese, Japanese and Korean.
MeloTTS is an open-source audio project by myshell-ai (myshell-ai/MeloTTS on GitHub). It has 7,661 GitHub stars and 1,079 forks, is released under the MIT license, and was last updated on GitHub on 24 December 2024.
Pick the language (or languages) you need voices for, and whether you will call the library from Python, the CLI or the Web UI.
Clone myshell-ai/MeloTTS from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.
Clone the repo and install it following the README's usage instructions for your chosen language models.
Synthesise a short sentence in one language on CPU, check the audio quality and speed, then try a second language or a mixed Chinese-English line.
Speakers for English, Spanish, French, Chinese, Japanese and Korean in one library.
The Chinese speaker supports mixed Chinese and English text, a common pain point for bilingual content.
Fast enough to synthesise in real time on CPU, so voice features do not require a GPU.
Beyond the Python library, a contributed Web UI and command-line interface make quick tests easy.
Positioned as a high-quality TTS library rather than a tiny embedded synthesizer, based on MyShell's research.
Free to embed in your own applications under the MIT license.
Get the source from the official GitHub repository for MeloTTS.
git clone https://github.com/myshell-ai/MeloTTS.git
cd MeloTTSClone the repository and install following the README's usage section for your platform and language.
git clone https://github.com/myshell-ai/MeloTTS.git
cd MeloTTS # then follow the README install/usage stepsUse the Python API, CLI or Web UI from the README to generate speech in your chosen language.
# Follow the README usage examples to synthesise your first sentence — see READMEmyshell-ai (MyShell.ai), through the myshell-ai/MeloTTS repository.
Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.
No API key is needed — synthesis runs locally, including on CPU; MeloTTS is free under the MIT license.
Cloud TTS charges per character and needs connectivity, but offers many managed voices. MeloTTS runs locally in six languages at CPU real-time speed for free — fewer knobs, but private, offline and embeddable.
Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — synthesise a short sentence in one language on CPU, check the audio quality and speed, then try a second language or a mixed Chinese-English line.
MaryTTS — open-source, multilingual text-to-speech platform written in pure Java
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ToucanTTS: fast, controllable text-to-speech for over 7,000 languages, from Stuttgart's IMS.
The easiest way to serve AI models, including speech-to-text, on Kubernetes.
Free AAC communication boards with text-to-speech, in the browser.
A free offline desktop assistant for speech-to-text.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if MeloTTS 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.