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.

Kugadzwa for 5,000 character limit

Wrap yako tenzi mu SSML tags kuti zvive nyore kudzora:

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

Tags iyo yakasarudzwa model inonzwisiswa — tinya kuti utore imwe muchinyorwa chako apo inoitika:

Iyi modhi inoverenga chete mazita ezvinyorwa, saka zvinyorwa zvinonyorwa mumitsara hazvina kutariswa. Kuti uwane pfungwa dziri mumitsara, chinja kune imwe modhi inoratidza pfungwa seOrpheus kana Bark.

Define custom pronunciations (word = pronunciation):

-12 +12
0.5x 2.0x
Free with Piper, VITS, MeloTTS
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Free tier: personal usage. Commercial license from $5/mo
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Chii 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.

Yakanaka kune: High-fidelity bilingual narration, emotion-controlled voice acting, Chinese audiobook content

Tarisa zvese Ming-Omni TTS mazwi

Mufananidzo

Developer
inclusionAI
License
Apache 2.0
Tier
free
Speed
medium
Kutaura
Yes
Zvinhu
English, Chinese
Max characters
1000

Ming-Omni TTS mazwi

Default

English
Free Neutral

Default (Chinese)

Chinese
Free Neutral

Ming-Omni TTS TTS — Zvinyorwa

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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