StyleTTS 2

StyleTTS 2 TTS

Reaches human-level single-speaker synthesis through style diffusion and adversarial training.

Prihlásiť sa na odber Limit 5 000 znakov

Zabaliť text do SSML značiek pre presnú kontrolu:

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

Značky, ktorým vybraný model rozumie — kliknutím ich umiestnite do textu tam, kde sa vyskytujú:

Tento model číta obyčajný text, takže vnorené značky sa ignorujú.Pre emócie založené na značkách prejdite na expresívny model ako Orpheus alebo Bark.

Definovať vlastné výslovnosti (slovo = výslovnosť):

-12 +12
0.5x 2.0x
Zadarmo s Piper, VITS, MeloTTS
Vyberte si model, zadajte text a kliknite na tlačidlo Generovať.Generate.
Audio generované úspešne
0:00
Stiahnuť audio na stiahnutie Stiahnuť.srt súbor Platnosť odkazu vyprší za 24h
Bezplatná úroveň: osobné použitie. Komerčná licencia od 5 USD/mesiac
Láska TTS.ai? Povedzte svojim priateľom!

O nás StyleTTS 2

StyleTTS 2, developed at Columbia University, achieves human-level text-to-speech for single-speaker synthesis by combining style diffusion with adversarial training guided by large speech language models. Its diffusion-based style modeling captures the full natural variation of human speech — subtle shifts in rhythm, emphasis, and tone — so output can rival real recordings. It is widely regarded as one of the most natural-sounding open single-speaker models, which makes it a strong choice for studio-quality narration and professional voiceover where polish matters more than cloning or multilingual range. StyleTTS 2 is English-focused and released under the permissive MIT license.

Najlepšie pre: Studio-quality single-speaker synthesis, professional narration

Prehľadávať všetky StyleTTS 2 hlasy

Na prvý pohľad

Vývojár
Columbia University
Licencia
MIT
Zvieratá
premium
Rýchlosť
medium
Klonovanie hlasu
Nie
Jazyky
English
Max. počet znakov
500

StyleTTS 2 hlasy

Default

English
Prémia Neutral

StyleTTS 2 TTS — Často kladené otázky

It combines style diffusion with adversarial training using large speech language models. The diffusion-based style modeling captures the full range of human speech variation, producing output that can rival real recordings.

No. It is focused on producing the most natural single-speaker synthesis rather than cloning a specific voice. For cloning, use a model like Chatterbox or GPT-SoVITS.

Studio-quality single-speaker work — professional narration and voiceover — where naturalness and polish are the priority. It is English-focused and MIT-licensed.
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