LibreAI / Audio / MOSS-TTS
// audio · OpenMOSS/MOSS-TTS

MOSS-TTS

MOSS-TTS est un projet de audio open source, créé par OpenMOSS (OpenMOSS/MOSS-TTS sur GitHub). Il compte 4 184 étoiles sur GitHub et 378 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 6 septembre 2026.

MOSS-TTS family: open text-to-speech models for voice cloning, dialogue, voice design, and real-time agents

★ 4,2 k étoiles⑂ 378 forksApache-2.0mis à jour sept. 2026
▦ visuel — le README de ce projet ne contient aucune capture intégrable,
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.
// détails du projet

Détails du projet

Étoiles GitHub
4 184
Forks
378
Licence
Apache-2.0
Dernière mise à jour sur GitHub
6 septembre 2026
Catégorie
Audio
Type de fiche
Guide d'installation complet
Site officiel
Official site
// fonctionnement

Comment ça marche

  1. Pick the family member

    Choose by job: flagship or v1.5 for general TTS/cloning, TTSD for dialogue, VoiceGenerator for designed voices, Realtime for agents, SoundEffect for SFX.

  2. Clone and install

    Clone the repo and install with the torch-runtime extra (or the torch-free runtime path).

  3. Download weights

    Fetch the chosen model's weights from Hugging Face or ModelScope as linked in the README.

  4. Generate or serve

    Run the model's inference example, or serve it behind the OpenAI-compatible speech endpoint.

// fonctionnalités

Pourquoi on l'adore

A full model family

Flagship, v1.5, local-transformer, dialogue (TTSD), voice-design, realtime, and sound-effect models in one project.

31-language v1.5

Multilingual synthesis with language tags, explicit [pause X.Ys] control, and Pinyin/phoneme/duration control.

Stable zero-shot cloning

Clone voices from reference audio, with long-form generation support.

Dialogue generation

MOSS-TTSD targets multi-speaker podcasts, dialogue, and dubbing.

OpenAI-compatible serving

Serve models via SGLang-Omni or vLLM-Omni at /v1/audio/speech for drop-in integration.

Flexible runtimes

PyTorch runtime, optional flash-attention, or a torch-free llama.cpp/ONNX path; fine-tuning tutorials included.

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// lancez-le

Lancez-le vous-même

  1. Clone the repository

    Clone the project and enter its directory.

    git clone https://github.com/OpenMOSS/MOSS-TTS.git
    cd MOSS-TTS
  2. Install with the torch runtime

    Install the package with its PyTorch runtime extra (CUDA 12.8 wheels per the README).

    pip install --extra-index-url https://download.pytorch.org/whl/cu128 -e ".[torch-runtime]"
  3. Generate speech

    Download a family member's weights from Hugging Face and follow its README example to synthesize from text (and reference audio for cloning).

    # see the chosen model's section in the README for the exact inference command
// cas d'usage

Ce que vous pouvez créer

MarkuprPlus records your screen, narrate the bug, hand AI structured notes. The Audio shelf also holds aidictation — open-source dictation with offline recognition, everywhere. Readers working through the Audio shelf also stop at OpenVoice, Instant voice cloning from MIT and MyShell — clone a voice from a short reference clip.

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// faq

Questions fréquentes

Who maintains MOSS-TTS?

OpenMOSS, the MOSI.AI lab, maintains the MOSS model family.

Is it free?

Yes — the project is Apache-2.0 licensed and weights are published on Hugging Face and ModelScope.

Does it need a paid API key?

No. Models run locally; the larger ones expect a capable GPU.

How does it compare to MOSS-TTS-Nano?

Nano is the tiny 0.1B CPU-friendly sibling. This repo is the full family — up to the 8B flagship — with dialogue, voice design, realtime, and sound-effect models for higher fidelity.

How do I get started?

Clone the repo, install with the `.[torch-runtime]` extra, pick a family member, download its weights, and run its README example.

// continuez l'exploration

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// alternatives

Alternatives en Audio

Les autres projets de la catégorie Audio avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si MOSS-TTS ne vous convient pas.

// plus en audio

Plus en Audio

Projets de la catégorie Audio proches dans le catalogue, les plus proches en étoiles de MOSS-TTS — continuez à explorer de part et d'autre.

Obtenir MOSS-TTS

Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.