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OpenMOSS / MOSS-TTSD

A multilingual model for long-form, multi-speaker dialogue synthesis with flexible speaker control and zero-shot voice cloning

Why this job: topics: text-to-speech, voice-cloning, speech-synthesis, voice cloning

alt text

What it does

  • From Monologue to Dialogue. Unlike traditional TTS which optimizes for reading, MOSS-TTSD masters the rhythm of conversation. It supports 1 to 5 speakers with flexible control, handling natural turn-taking, overlapping speech patterns, and
  • Extreme Long-Context Modeling. moving beyond short-sentence generation, the model is architected for stability over long durations, supporting up to 60 minutes of coherent audio in a single session with consistent identity.
  • Diverse Scenario Adaptation. fine-tuned for high-variability scenarios including conversational media (AI Podcasts), dynamic commentary (Sports/Esports), and entertainment (Audiobooks, Dubbing, and Crosstalk).
  • Multilingual & Zero-Shot Capabilities. features state-of-the-art zero-shot voice cloning requiring only short reference audio, with robust cross-lingual performance across major languages including Chinese, English, Japanese, and European l

Get started

git clone https://github.com/OpenMOSS/sglang -b moss-ttsd-v1.0-with-cat
Maintenance
Active
Last commit 2 months ago
Stars
1,418
+3 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
100% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
42% closed
53 still open
Pull requests
30 merged
0 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 100%

Topics

  • finetune
  • large-language-models
  • multilingual
  • podcast
  • sglang
  • speech-dialogue-generation
  • speech-synthesis
  • streaming
  • text-to-speech
  • voice-cloning

Project record

  • JobSpeech and audio
  • StatusListed
  • Commits107
  • Forks140
  • Watching18
  • Stars in 28 days+13
  • CreatedJun 17, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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