Audio
dia
A TTS model capable of generating ultra-realistic dialogue in one pass.
★ 19,4k estrellasApache-2.0
Ver la guía →MOSS-TTSD es un proyecto de audio de código abierto de OpenMOSS (OpenMOSS/MOSS-TTSD en GitHub). Tiene 1.401 estrellas en GitHub y 140 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 6 de septiembre de 2026.
Multilingual long-form dialogue speech with zero-shot voice cloning.
Download weights and the inference code from the repo.
Write multi-speaker dialogue for it to voice.
Control which voice reads each line, cloning new ones as needed.
Generate long-form speech in your target language.
Keeps distinct voices consistent across long conversations.
Clones a voice from a short sample without retraining.
Synthesizes dialogue in multiple languages.
Directs who speaks each line in the script.
Can stream output for interactive applications.
Commercial-friendly terms for research and products.
Download the source and move into the project folder.
git clone https://github.com/OpenMOSS/MOSS-TTSD.git
cd MOSS-TTSDEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at OpenMOSS/MOSS-TTSD with 140 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
It is built for long-form dialogue with multiple consistent speakers, not isolated lines.
It is a research model — a decent GPU is the realistic starting point.
It is described as multilingual; check the model docs for the full list.
A TTS model capable of generating ultra-realistic dialogue in one pass.
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
CosyVoice: multilingual voice generation with zero-shot cloning, streaming and fine-tuning
MOSS-TTS family: open text-to-speech models for voice cloning, dialogue, voice design, and real-time agents
IndexTTS: industrial-level, controllable zero-shot text-to-speech with voice cloning
Los demás proyectos de Audio con más estrellas del catálogo de LibreAI: la lista realista de alternativas si MOSS-TTSD no es lo que buscas.
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++
Proyectos de Audio cercanos en el catálogo, los más próximos en estrellas a MOSS-TTSD: sigue explorando a ambos lados.
Blazing-fast multi-backend Whisper transcription for any file or URL.
Expressive TTS where emojis steer the speaking style.
Self-host Chatterbox TTS with web UI, API, and voice cloning.
A book by the HardHacker Labs team chronicling how their product Podwise grew
Machine-learning karaoke with scores — sing at home, for free.
The easiest way to serve AI models, including speech-to-text, on Kubernetes.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.