MOSS-TTSD

MOSS-TTSD Ikiganiro

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

Kwiyandikisha kugirango Inyuguti

Umwandiko in Itagi: ya: Igenzura:

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

i Byahiswemo Urugero - Kanda Kuri Gukuraho Rimwe Umwandiko:

Urugero: Bisanzwe Umwandiko, Umurongo: Itagi:. Itagi: -, Hindura Kuri Urugero: Nka Cyangwa.

Kugena (Ijambo =):

-12 +12
0.5x 2.0x
Na:,,
Audio Kugaragara. A Urugero:, Injiza Umwandiko, na Kanda.
Byaremwe
0:00
Iyimura Iyimura Ihuza in
Bwite Koresha Kuva: 5 /
TTS.ai? Abayobozi!

Ikiganiro 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.

kugirango: Podcasts, audiobooks, dubbed dialogue, conversational content with multiple voices

Gushakisha byose MOSS-TTSD Amashusho

A

Mukoraporogaramu
OpenMOSS
Inyandiko y'Iyemererakoresha
Apache 2.0
Itariki
standard
Umuvuduko
medium
Guhindura izina
Oya
Ururimi:
English, Chinese
Inyuguti
5000

MOSS-TTSD Amashusho

Default (Chinese)

Chinese
Bisanzwe Neutral

Default Speaker

English
Bisanzwe Neutral

MOSS-TTSD -

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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