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

MOSS-TTSD

Multilingual long-form dialogue speech with zero-shot voice cloning.

💎 Hidden gem★ 1.4k stars⑂ 140 forksApache-2.0updated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

MOSS-TTSD is an open-source audio project by OpenMOSS (OpenMOSS/MOSS-TTSD on GitHub). It has 1,401 GitHub stars and 140 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 6 September 2026.

GitHub stars
1,401
Forks
140
License
Apache-2.0
Last updated on GitHub
6 September 2026
Category
Audio
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Get the model

    Download weights and the inference code from the repo.

  2. Prepare a script

    Write multi-speaker dialogue for it to voice.

  3. Assign speakers

    Control which voice reads each line, cloning new ones as needed.

  4. Render the audio

    Generate long-form speech in your target language.

// features

Why people love it

Multi-speaker dialogue

Keeps distinct voices consistent across long conversations.

Zero-shot cloning

Clones a voice from a short sample without retraining.

Multilingual

Synthesizes dialogue in multiple languages.

Flexible speaker control

Directs who speaks each line in the script.

Streaming support

Can stream output for interactive applications.

Apache-2.0 license

Commercial-friendly terms for research and products.

Advertisement
// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/OpenMOSS/MOSS-TTSD.git
    cd MOSS-TTSD
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

Advertisement
// faq

Questions, answered

Who maintains MOSS-TTSD?

It 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.

Is MOSS-TTSD free for commercial use?

Apache 2.0 licensed — commercial use allowed with attribution.

What makes it different from single-voice TTS?

It is built for long-form dialogue with multiple consistent speakers, not isolated lines.

How much compute do I need?

It is a research model — a decent GPU is the realistic starting point.

Which languages does it support?

It is described as multilingual; check the model docs for the full list.

// keep exploring

Similar tools

Audio

dia

A TTS model capable of generating ultra-realistic dialogue in one pass.

★ 19.4k starsApache-2.0
View guide →
Audio

F5 TTS

Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"

★ 15.3k starsMIT
View guide →
Audio

GPT-SoVITS

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

★ 62.3k starsMIT
View guide →
Audio

CosyVoice

CosyVoice: multilingual voice generation with zero-shot cloning, streaming and fine-tuning

★ 23.9k starsApache-2.0
View guide →
Audio

MOSS-TTS

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

★ 4.2k starsApache-2.0
View guide →
Audio

index-tts

IndexTTS: industrial-level, controllable zero-shot text-to-speech with voice cloning

★ 24.4k starsNOASSERTION
View guide →
// alternatives

Alternatives in Audio

The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if MOSS-TTSD is not the right fit.

Get MOSS-TTSD

Free and open — grab the source, star the repo, and start creating.