Ming-Omni TTS

Ming-Omni TTS TTS

A compact 0.5B omni-modal speech model with near-CD-quality 44.1kHz output and zero-shot voice cloning.

_Gün tertibi 5000 karakter çäk

Metini SSML taglarda dolap dogry kontrol üçin:

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

Saýlanan model aňlaýan taglar — birini metinde goýmak üçin basyň:

Bu model ýönekeý metin okaýar, şonuň üçin hatda taglar gözden düşürilýär. Tag-based emotions for, switch to an expression model like Orpheus or Bark.

Öz sözleriň terjimesini belli et (söz = terjime):

-12 +12
0.5x 2.0x
Piper, VITS, MeloTTS bilen azat
Siziň döreden audioňyz şu ýerde görüner. Bir model saýlaň, metin girin we döred
Ses mübärek bejerildi
0:00
Ses ýükle .srt ýükle Baglanyşyk 24 sagadyň içinde gutarýar
TTS.ai-ni söýýäňmi? Dostlaryňa aýt!

Habar Ming-Omni TTS

Ming-omni-tts-0.5B by inclusionAI is a compact omni-modal speech model built on the BailingMM dense backbone with a patch-by-patch flow-matching audio decoder. Despite its small 500M-parameter size, it outputs 44.1kHz audio approaching CD quality and supports zero-shot voice cloning from a reference of three seconds or more. It includes built-in emotion, dialect, and even background-music control driven by JSON instructions, and is notably stable — reporting a 0.83% word error rate on Chinese benchmarks. With Apache 2.0 licensing and modest 3GB VRAM needs, it fits high-fidelity bilingual narration, emotion-controlled voice acting, and Chinese audiobook production.

Muňa iň gowy: High-fidelity bilingual narration, emotion-controlled voice acting, Chinese audiobook content

Ehlini _Gözle Ming-Omni TTS sesler

Bir seretseň

Developer
inclusionAI
Lisenziýa
Apache 2.0
_Göçür
free
Tizlik
medium
Ses klonlamak
Diller
English, Chinese
Maks. karakterler
1000

Ming-Omni TTS sesler

Default

English
Free Neutral

Default (Chinese)

Chinese
Free Neutral

Ming-Omni TTS TTS - Gynançly Soraglar

It outputs 44.1kHz audio, close to CD quality — high for a model of only 0.5B parameters — thanks to its patch-by-patch flow-matching audio decoder.

Beyond voice cloning, it supports emotion, dialect, and background-music control via JSON instructions, and it is very stable, reporting a 0.83% word error rate on Chinese benchmarks.

English and Chinese, with zero-shot voice cloning from a reference clip of three seconds or longer.
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