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.

ምዝገባ 5,000 ካራቴግራም

SSML tags ሒዝካ ጽሑፍካ ሒዝካ ንምውሳድ:

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

ርኢቶታት እቲ ዝተመርጸ ሞዴል ዝፈልጦ — ጠቅልል ንኸውዕሎ ኣብ ጽሑፍካ ኣብ ዝግበር ቦታ:

እዚ ሞዴል'ዚ ጽሑፍ ቀሊል ይንብብ፣ ከምኡ'ውን ኣብ መስመር ዝርከብ ቴግታት ይቕረ ይበሃል። ን tag-based emotion፣ ናብ ሞዴል ስነ-ኣእምሮኣዊ ከም Orpheus ወይ Bark ምቕያር

ድምጺ ተለፎን (ቓል = ድምጺ)

-12 +12
0.5x 2.0x
ነጻ ምስ Piper, VITS, MeloTTS
እቲ ዝተፈጠረ ድምጺ እዚኣ ይርከብ። ሓደ ሞዴል ምረጽ፣ ጽሑፍ ኣትሒዝካ፣ ንተፈጥሮ ጠቅልል።
ድምጺ ተኸፊሉ
0:00
ድምጺ መዝጊብ .srt መዝገብ 24 ሰዓታት
ነጻ ደረጃ: ንባዕልኻ ንምጥቃም. ውልቀ-መዚ ውልቀ-መዚ ካብ $5/month
TTS.ai ትወዳደሮ? ንፍቓድካ ንገረኒ!

ብዛዕባ 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.

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

ርአ MOSS-TTSD ቃላት

ኣብ ሓደ ገጽ

መተግበሪያ
OpenMOSS
ውልቀ-መዚ
Apache 2.0
ቍጽሪ
standard
ፍጥነት
medium
ድምጺ
ኣየ
ቋንቋ
English, Chinese
ቍጽሪ ኣርእስቲ
5000

MOSS-TTSD ቃላት

Default (Chinese)

Chinese
ቍጽሪ Neutral

Default Speaker

English
ቍጽሪ Neutral

MOSS-TTSD ሕቶታት ዝንበረሉ

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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