MOSS-TTSD

MOSS-TTSD TTS

A 7B dialogue model that continues conversations from an audio prompt — up to five speakers and 60 minutes of coherent audio.

Ojejapo 5000 caracter rehegua límite

Ojehaijey ñe'ẽnguéra etiquetas SSML-pe peteĩ control hekopete g̃uarã:

<speak><prosody rate="slow">Slow speech</prosody></speak>

Etiquetas ohechakuaáva modelo ojeporavóva - tesãirã peteĩ peteĩva ñe'ẽnguérape, oĩhápe:

Ko modelo ohai texto ndahasyivéva, upévare umi etiqueta oĩva línea ryepýpe ndojehechakuaái. Umi emoción oñemopyendáva etiqueta-pe g̃uarã, oñemoambue peteĩ modelo expresivo-pe taha'e Orfeo térã Bark.

Oñemohenda ñe'ẽnguéra ojehechapyréva (tembiapo = ñe'ẽnguéra):

-12 +12
0.5x 2.0x
Libre Piper, VITS, MeloTTS ndive
Audio-kuéra oguenohẽva ojekuaauka ko'ápe. Oñeporavo peteĩ modelo, omoĩnge ñe'ẽ ha ohesa'ỹijo Generar.
Audio oñemoheñói porã
0:00
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Nivel libre: jeiporu personal. Licencia comercial $5/ha'e rupi
Ehayhuetéva TTS.ai? He'i umi iñangirũpe!

Mba'épa 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.

Oñeha'ãvéva: Podcasts, audiobooks, dubbed dialogue, conversational content with multiple voices

Ojehecha opavave MOSS-TTSD ñe'ẽ

Peteĩ jehecha

Desarrollador
OpenMOSS
Licencia
Apache 2.0
Ta'ãnga
standard
Velocidad
medium
Clonación ñe'ẽnguéra rehe
Ha'e
Ñe'ẽ
English, Chinese
Caracteres máx.
5000

MOSS-TTSD ñe'ẽ

Default (Chinese)

Chinese
Estándar Neutral

Default Speaker

English
Estándar Neutral

MOSS-TTSD Pregunta ojehechavéva

Up to five simultaneous speakers, addressed via speaker tags like [S1] and [S2], with the ability to clone each voice from a short reference clip.

It can produce up to 60 minutes of coherent multi-turn dialogue, which is what makes it suited to full podcast episodes and audiobook chapters rather than short clips.

MOSS-TTSD is a dialogue-specialized variant that continues conversations from an audio prompt and targets podcast, audiobook, and dubbing workflows, whereas the base MOSS-TTS is a general single-voice synthesis model.
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