StyleTTS 2

StyleTTS 2 TTS

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

Cofrestru am gyfyngiad 5,000 nod

Amlapio' ch testun mewn tagiau SSML er mwyn cael rheoli cywir:

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

Tags y deall y model dewisiedig - cliciwch i daflu un i' ch testun lle mae' n digwydd:

Mae'r model yma yn darllen testun plaen, felly anwybyddir tagiau mewnlin. I ddelweddu teimlad yn seiliedig ar dagiau, newidiwch i ddelweddu mynegiant fel Orpheus neu Bark.

Diffinio ynganiad addasiedig (gair = ynganiad):

-12 +12
0.5x 2.0x
Am ddim gyda Piper, VITS, MeloTTS
Bydd eich sain a gynhyrchwyd yn ymddangos yma. Dewiswch ddull, rhowch destun, a chliciwch Creu.
Creuwyd Sain yn Llwyddiannus
0:00
Lawrlwytho Sain Lawrlwytho.srt Mae'r cyswllt yn darfod mewn 24 awr
Haen rhad: defnydd personol. Trwydded fasnachol o $5/mis
Gwneud hwn yn eich llais eich hun Clonio llais mewn 30 eiliad
Hoffwch TTS.ai? Meddwl am eich ffrindiau!

Am 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.

Gorau ar gyfer: Studio-quality single-speaker synthesis, professional narration

Pori Popeth StyleTTS 2 Saesneg

Yn syth

Datblygwr
Columbia University
Trwydded
MIT
o Fawrth
premium
Cyflymder
medium
Clonio llais
Na
Iaith:
English
Uchafswm nodau
500

StyleTTS 2 Saesneg

Default

English
Cyntaf Neutral

StyleTTS 2 TTS - Cwestiynau Cyffredin

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.
← Pob llais