StyleTTS 2

StyleTTS 2 TTS

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

Whakawhanake mō te tepe o ngā tohu 5,000

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):

-12 +12
0.5x 2.0x
Waihoki me Piper, VITS, MeloTTS
Ka puta tēnei te oro i waihangatia e koe. Ka kōwhiria tētahi tauira, ka tāurua te kupu, a, ka kōwhiria te Whakatū.
Kua angitu te whakaputanga oro
0:00
Waihoki i te oro Whakahua.srt Ka ngaro te pānga i roto i te 24h
Tauwhāinga wātea: te whakamahinga whaiaro. Whakawhiwhinga hokohoko mai i te $5/mo
E manakohia ana e TTS.ai? Whakapāpāho ki ōna hoa!

Mo 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.

Pai mo: Studio-quality single-speaker synthesis, professional narration

Ka tirohia katoa StyleTTS 2 ngā oro

I te tirohanga

Ka whakawhanakehia
Columbia University
Ka taea te whakawātea
MIT
Karaka
premium
Āhuatanga
medium
Whakakōrero reo
Kāore
reo
English
Kāri nui rawa
500

StyleTTS 2 ngā oro

Default

English
Whakawhiwhinga Neutral

StyleTTS 2 TTS - FAQ

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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