VoxCPM

VoxCPM TTS

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

Akaụntụ maka 5,000 akara oghe

Kpọchie ngwe gị n'ime SSML táàbụ̀ maka nlekọta ziri ezi:

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

Táàbụ̀ nke móòdù ahụ a họọrọ na-aghọta - pịa ka ịkpụga otu n'ime ngwe gị ebe ọ na-eme:

Móòdù a na-agụ ngwe nkịtị, yabụ na a na-ewepụta inline táàbụ̀. Maka táàbụ̀-n'okpuru n'émóòdù, gbanwee ka móòdù na-egosi ihe dịka Orpheus mọọbụ Bark.

Ndesịta okwu emeredịkachọrọ:

-12 +12
0.5x 2.0x
Free na Piper, VITS, MeloTTS
Ọdịdị gị ga-egosipụta ebe a. Họrọ móòdù, tinye ngwe, ma pịa Kewapụta.
Ọdịdị a mepụtala nke ọma
0:00
Bubata ụda Bubata.srt Ndesịta njikọ ahụ ga-agwụ n'ime 24h
Free tier: ojiji onwe onye. Commercial license site na $5/mo
Mee ka ọ bụrụ ụda gị Kloo ụda n'ime sekọnd 30
Ị hụrụ TTS.ai? Kpọtụrụ enyi gị!

_N'ihe banyere 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.

Ọkachasị maka: High-fidelity audio, audiobooks, long-form content with voice consistency

Nlegharịa niile VoxCPM ụda

N'ime nlele

Ńkwádò
OpenBMB
Ikikere
Apache 2.0
Tier
standard
Nhazi
fast
Nhazi ụda
Ee
Asụsụ ndị ahụ
English, Chinese
Ụhara Max
2000

VoxCPM ụda

Default

English
Dìfọ́ọ̀ltụ̀ Neutral

Default Chinese

Chinese
Dìfọ́ọ̀ltụ̀ Neutral

VoxCPM TTS - Ajụjụ ndị na-emekarị

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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