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.

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 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.

Beste vir: Voice cloning, singing synthesis, content creator voice replication

Blaai deur almal GPT-SoVITS stemme

Met'n blik

Ontwikkelingvloeistof is minDeveloper
RVC-Boss
Lisensie
MIT
Tier
standard
Spoed
slow
Stem kloning
Ja
Tale
English, Chinese, Japanese, Korean
Voeg- agteraan- by Taal
500

GPT-SoVITS stemme

Default

Chinese
Kalender Neutral

English Default

English
Kalender Neutral

Japanese Default

Japanese
Kalender Neutral

Korean Default

Korean
Kalender Neutral

GPT-SoVITS TTS ← FAQ

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.
← Alle stemme