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.

Teken op vir 5 000 karakterbeperking

Oorvloei jou teks in SSML etiket vir presiese beheer:

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

Merk die gekose model verstaan ooit die woord ooit om een in jou teks te laat val waar dit gebeur:

Hierdie model lees gewone teks, so inlyn etiket word geignoreer. Vir etiket-gebaseerde emosie, wissel na 'n uitdrukkingende model soos Orpheus of Bark.

Definieer pasmaak uitspraak (woord = uitspraak):

-12 +12
0.5x 2.0x
Vry met Pyper, VITS, MiloTTS
Jou gegenereer oudio sal hier verskyn. Kies 'n model, invoer teks, en kliek Genereer.
Klank Genereer suksesvol
0:00
Aflaai klaar gemaak Aflaai klaar gemaak Skakel verstrek in 24h
Vryvlak: persoonlike gebruik. Kommonsielisensie van R5/m
Liefde TTS.ai, vertel jou vriende!

Aangaande 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.

Beste vir: Podcasts, audiobooks, dubbed dialogue, conversational content with multiple voices

Blaai deur almal MOSS-TTSD stemme

Met'n blik

Ontwikkelingvloeistof is minDeveloper
OpenMOSS
Lisensie
Apache 2.0
Tier
standard
Spoed
medium
Stem kloning
Ja
Tale
English, Chinese
Voeg- agteraan- by Taal
5000

MOSS-TTSD stemme

Default (Chinese)

Chinese
Kalender Neutral

Default Speaker

English
Kalender Neutral

MOSS-TTSD TTS ← FAQ

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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