VoxCPM

VoxCPM TTS

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

Teken op vir 5 000 karakterbeperking

Oorvloei jou teks in SSML etiket vir presiese beheer:

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

Merk die gekose model verstaan ooit die woord ooit om een in jou teks te laat val waar dit gebeur:

Hierdie model lees gewone teks, so inlyn etiket word geignoreer. Vir etiket-gebaseerde emosie, wissel na 'n uitdrukkingende model soos Orpheus of Bark.

Definieer pasmaak uitspraak (woord = uitspraak):

-12 +12
0.5x 2.0x
Vry met Pyper, VITS, MiloTTS
Jou gegenereer oudio sal hier verskyn. Kies 'n model, invoer teks, en kliek Genereer.
Klank Genereer suksesvol
0:00
Aflaai klaar gemaak Aflaai klaar gemaak Skakel verstrek in 24h
Vryvlak: persoonlike gebruik. Kommonsielisensie van R5/m
Liefde TTS.ai, vertel jou vriende!

Aangaande 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.

Beste vir: High-fidelity audio, audiobooks, long-form content with voice consistency

Blaai deur almal VoxCPM stemme

Met'n blik

Ontwikkelingvloeistof is minDeveloper
OpenBMB
Lisensie
Apache 2.0
Tier
standard
Spoed
fast
Stem kloning
Ja
Tale
English, Chinese
Voeg- agteraan- by Taal
2000

VoxCPM stemme

Default

English
Kalender Neutral

Default Chinese

Chinese
Kalender Neutral

VoxCPM TTS ← FAQ

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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