VoxCPM

VoxCPM TTS

A tokenizer-free TTS model that works in continuous space, outputs 44.1kHz audio, and stays consistent across paragraphs.

Tia sahihi kwa kiwango cha tabia 5,000

Pakua maandishi yako katika tovuti ya SSML kwa ajili ya udhibiti sahihi:

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

Tag anaelewa mfano unaochaguliwa na unajibu ujumbe huu:

Mfano huu unasomeka maandishi rahisi, kwa hiyo alama za vidole hupuuzwa. Kwa hisia za ndani za watu, geukia kigezo kinachoonesha hisia kama Orfeus au Bark.

Matamshi ya desturi (neno = matamshi):

-12 +12
0.5x 2.0x
Nikiwa huru na Piper, VITS, MelloTTTS
Unaweza kuchagua mfano, maandishi, na kidofo kinachoitwa Genete.
Edio Iliyorekebishwa kwa Mafanikio
0:00
Paketi ya Audio Paketisha.srt Kiungo kinakufa mnamo 24
Safu huru: matumizi ya kibinafsi. Hati ya biashara kutoka dola 5/mo
Fanya hii sauti yako mwenyewe Chokoa sauti kwa sekunde 30
Waeleze rafiki zako kuhusu mapenzi ya TTS.ai?

Habari VoxCPM

VoxCPM 1.5 by OpenBMB takes an unusual approach: instead of converting speech into discrete tokens, it operates directly in continuous space, which helps it preserve fine acoustic detail. It produces high-fidelity 44.1kHz audio, supports zero-shot voice cloning from three to ten seconds of reference, and maintains a consistent voice across long passages — a common failure point for other models on multi-paragraph text. Its cross-language cloning lets an English reference voice speak Chinese and vice versa. With Apache 2.0 licensing and LoRA fine-tuning support, it is well suited to audiobooks and long-form content where voice consistency over many paragraphs is essential.

Bora kwa: High-fidelity audio, audiobooks, long-form content with voice consistency

Ng'ombe wote VoxCPM sauti

Kutupia jicho

Mbuni
OpenBMB
Lenzi
Apache 2.0
Tier
standard
Mwendo
fast
Kufanyizwa kwa Sauti
Ndiyo
Lugha
English, Chinese
Wahusika wa Max
2000

VoxCPM sauti

Default

English
Kiwango Neutral

Default Chinese

Chinese
Kiwango Neutral

VoxCPM TTS ngumuSTEGAQ

Rather than discretizing speech into tokens, VoxCPM models audio in continuous space using flow matching. This helps it retain subtle acoustic detail and produce clean 44.1kHz output.

Yes. It is specifically designed to keep the voice consistent across paragraphs, which makes it well suited to audiobooks and other long passages where other models tend to drift.

Yes. It supports cross-lingual cloning between English and Chinese — for example applying an English reference voice to Chinese speech — from three to ten seconds of audio.
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