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.

Daftar masuk had 5,000 aksara

Lilitkan teks anda dalam tag SSML untuk kawalan tepat:

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

Tag model dipilih memahami - klik untuk jatuhkan satu ke dalam teks anda di mana ia berlaku:

Model ini membaca teks biasa, jadi tag dalam baris diabaikan. Untuk emosi berdasar tag, beralih ke model ekspresif seperti Orpheus atau Bark.

Tetapkan sebutan tersendiri (perkataan = sebutan):

-12 +12
0.5x 2.0x
Bebas dengan Piper, VITS, MeloTTS
Audio yang dijana akan muncul di sini. Pilih model, masukkan teks, dan klik Janakan.
Audio Dijana Dengan Berjaya
0:00
Muat turun Audio Muat turun.srt Pautan luput dalam 24 jam
Tahap percuma: penggunaan peribadi. Lesen Komersial dari $5/mo
Cinta TTS.ai? Beritahu kawan-kawan anda!

Tentang 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.

Terbaik untuk: High-fidelity bilingual narration, emotion-controlled voice acting, Chinese audiobook content

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Dengan sekejap mata

Pemaju
inclusionAI
Lesen
Apache 2.0
Tajuk
free
Kelajuan
medium
Klon suara
Ya
Bahasa
English, Chinese
Aksara maksimum
1000

Ming-Omni TTS suara

Default

English
Bebas Neutral

Default (Chinese)

Chinese
Bebas Neutral

Ming-Omni TTS TTS - FAQ

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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