MOSS-TTSD TTS
A 7B dialogue model that continues conversations from an audio prompt — up to five speakers and 60 minutes of coherent audio.
Whāriki i tōna kupu i roto i ngā tohu SSML mō te whakahaere tika:
<speak><prosody rate="slow">Slow speech</prosody></speak>
E mōhio ana ngā tohu ki te tauira i kōwhiria - ka kōwhiria kia whakawātea tētahi ki roto i tōna kupu i reira ka puta ai:
Ka pānui tēnei tauira i te kupu noa, nā reira ka whakakāhoretia ngā tohu ā-waitara. Mō te āhua o te tohu-taihi, ka huri ki tētahi tauira whakamārama pēnei i a Orpheus, Bark rānei.
Ka tautuhia ngā tohutohu ā-ringa (wāhi = tohutohu):
Mo 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.
Pai mo: Podcasts, audiobooks, dubbed dialogue, conversational content with multiple voices
Ka tirohia katoa MOSS-TTSD ngā oroI te tirohanga
- Ka whakawhanakehia
- OpenMOSS
- Ka taea te whakawātea
- Apache 2.0
- Karaka
- standard
- Āhuatanga
- medium
- Whakakōrero reo
- He
- reo
- English, Chinese
- Kāri nui rawa
- 5000