marytts
MaryTTS — open-source, multilingual text-to-speech platform written in pure Java
MeloTTS — проект с открытым исходным кодом из категории «Аудио» от myshell-ai (myshell-ai/MeloTTS на GitHub). У него 7 661 звезда на GitHub и 1 079 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 24 декабря 2024.
MeloTTS — multilingual text-to-speech for English, Spanish, French, Chinese, Japanese and Korean.
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
Chatterbox — Resemble AI's open-source TTS family: expressive text-to-speech and voice cloning, multilingual V3, low-latency Turbo and tiny Nano models, MIT
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.
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если MeloTTS вам не подходит.
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++
Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к MeloTTS — продолжайте изучать полку по обе стороны от него.
VITS — the original end-to-end text-to-speech model: a conditional VAE with adversarial learning, in PyTorch.
ODS V3 Pre-Release: Public testing and refinement ahead of the official V3 launch. Turn your PC, Mac, or Linux box into a private AI server.
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
eSpeak NG — the compact open-source speech synthesizer for 100+ languages, small enough to embed anywhere.
Python library for audio and music analysis
On-device Speech AI for Apple Silicon
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.