MOSS-TTSD TTS
A 7B dialogue model that continues conversations from an audio prompt — up to five speakers and 60 minutes of coherent audio.
Wrap your text in SSML tags for precise control:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tags the selected model understands — click to drop one into your text where it happens:
This model reads plain text, so inline tags are ignored. For tag-based emotion, switch to an expressive model like Orpheus or Bark.
Define custom pronunciations (word = pronunciation):
About MOSS-TTSD
MOSS-TTSD v1.0 from OpenMOSS is a 7-billion-parameter dialogue text-to-speech model that continues a conversation from a short audio prompt rather than reading isolated lines. It handles up to five simultaneous speakers via [S1]/[S2]-style tags, zero-shot voice cloning from 3-to-10-second references, and stretches of coherent multi-turn dialogue up to 60 minutes long. It is distinct from the OpenMOSS MOSS-TTS model — the TTSD variant is specialized for podcast, audiobook, and dubbing workflows where long, consistent conversational audio is the goal. Released under Apache 2.0, it needs around 12GB of VRAM given its size.
Best for: Podcasts, audiobooks, dubbed dialogue, conversational content with multiple voices
Browse all MOSS-TTSD voicesAt a glance
- Developer
- OpenMOSS
- License
- Apache 2.0
- Tier
- standard
- Speed
- medium
- Voice cloning
- Yes
- Languages
- English, Chinese
- Max characters
- 5000