VoxCPM TTS
A tokenizer-free TTS model that works in continuous space, outputs 44.1kHz audio, and stays consistent across paragraphs.
Whāriki i tōna kupu i roto i ngā tohu SSML mō te whakahaere tika:
<speak><prosody rate="slow">Slow speech</prosody></speak>
E mōhio ana ngā tohu ki te tauira i kōwhiria - ka kōwhiria kia whakawātea tētahi ki roto i tōna kupu i reira ka puta ai:
Ka pānui tēnei tauira i te kupu noa, nā reira ka whakakāhoretia ngā tohu ā-waitara. Mō te āhua o te tohu-taihi, ka huri ki tētahi tauira whakamārama pēnei i a Orpheus, Bark rānei.
Ka tautuhia ngā tohutohu ā-ringa (wāhi = tohutohu):
Mo 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.
Pai mo: High-fidelity audio, audiobooks, long-form content with voice consistency
Ka tirohia katoa VoxCPM ngā oroI te tirohanga
- Ka whakawhanakehia
- OpenBMB
- Ka taea te whakawātea
- Apache 2.0
- Karaka
- standard
- Āhuatanga
- fast
- Whakakōrero reo
- He
- reo
- English, Chinese
- Kāri nui rawa
- 2000