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GPT-SoVITS

GPT-SoVITS TTS

A few-shot voice cloning model that replicates a voice — and can even sing — from as little as five seconds of audio.

0/500 karakterler · 5000 per generation üçin ýaz →
_Gün tertibi 5000 karakter çäk

Metini SSML taglarda dolap dogry kontrol üçin:

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

Saýlanan model aňlaýan taglar — birini metinde goýmak üçin basyň:

Bu model ýönekeý metin okaýar, şonuň üçin hatda taglar gözden düşürilýär. Tag-based emotions for, switch to an expression model like Orpheus or Bark.

Öz sözleriň terjimesini belli et (söz = terjime):

-12 +12
0.5x 2.0x
Piper, VITS, MeloTTS bilen azat
Siziň döreden audioňyz şu ýerde görüner. Bir model saýlaň, metin girin we döred
Ses mübärek bejerildi
0:00
Ses ýükle .srt ýükle Baglanyşyk 24 sagadyň içinde gutarýar
Özüni ulan $5/mo-dan söwda lisenziýasy
TTS.ai-ni söýýäňmi? Dostlaryňa aýt!

Habar GPT-SoVITS

GPT-SoVITS, created by the developer known as RVC-Boss, combines GPT-style language modeling with SoVITS (Singing Voice Conversion / synthesis) to deliver some of the most accessible voice cloning in open source. With as little as five seconds of reference audio it captures a speaker's timbre and style, and it stands out from most TTS models in handling singing as well as speech. It works across English, Chinese, Japanese, and Korean and supports cross-lingual generation, so a cloned voice can speak a language the reference clip never used. It is widely used by content creators for voice replication, dubbing, and song covers, and reaches high fidelity for a model of its size.

Muňa iň gowy: Voice cloning, singing synthesis, content creator voice replication

Ehlini _Gözle GPT-SoVITS sesler

Bir seretseň

Developer
RVC-Boss
Lisenziýa
MIT
_Göçür
standard
Tizlik
slow
Ses klonlamak
Eý
Diller
English, Chinese, Japanese, Korean
Maks. karakterler
500

GPT-SoVITS sesler

Default

Chinese
_Öň bellenen Neutral

English Default

English
_Öň bellenen Neutral

Japanese Default

Japanese
_Öň bellenen Neutral

Korean Default

Korean
_Öň bellenen Neutral

GPT-SoVITS TTS - Gynançly Soraglar

As little as five seconds. It uses few-shot learning, so a short reference clip is enough to capture a speaker, though a cleaner and slightly longer sample improves similarity.

Yes. Its SoVITS lineage comes from singing voice synthesis, so unlike most TTS models it can generate singing as well as spoken voice, which is why it is popular for song covers.

English, Chinese, Japanese, and Korean, with cross-lingual synthesis — a voice cloned from one language can be made to speak the others.
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