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.

Inscrever-se para o limite de 5000 caracteres

Envolva o seu texto em tags SSML para controle preciso:

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

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Este modelo lê texto simples, por isso as etiquetas inline são ignoradas. Para emoção baseada em tags, mude para um modelo expressivo como Orpheus ou Bark.

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Sobre 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.

Melhor para: Podcasts, audiobooks, dubbed dialogue, conversational content with multiple voices

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Desenvolvedor
OpenMOSS
Licença
Apache 2.0
Tier
standard
Velocidade
medium
Clonagem de voz
Sim
Línguas
English, Chinese
Número máximo de caracteres
5000

MOSS-TTSD vozes

Default (Chinese)

Chinese
Norma Neutral

Default Speaker

English
Norma 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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