MOSS-TTSD TTS
A 7B dialogue model that continues conversations from an audio prompt — up to five speakers and 60 minutes of coherent audio.
Kpọchie ngwe gị n'ime SSML táàbụ̀ maka nlekọta ziri ezi:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Táàbụ̀ nke móòdù ahụ a họọrọ na-aghọta - pịa ka ịkpụga otu n'ime ngwe gị ebe ọ na-eme:
Móòdù a na-agụ ngwe nkịtị, yabụ na a na-ewepụta inline táàbụ̀. Maka táàbụ̀-n'okpuru n'émóòdù, gbanwee ka móòdù na-egosi ihe dịka Orpheus mọọbụ Bark.
Ndesịta okwu emeredịkachọrọ:
_N'ihe banyere 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.
Ọkachasị maka: Podcasts, audiobooks, dubbed dialogue, conversational content with multiple voices
Nlegharịa niile MOSS-TTSD ụdaN'ime nlele
- Ńkwádò
- OpenMOSS
- Ikikere
- Apache 2.0
- Tier
- standard
- Nhazi
- medium
- Nhazi ụda
- Ee
- Asụsụ ndị ahụ
- English, Chinese
- Ụhara Max
- 5000