IndexTTS-2

IndexTTS-2 TTS

A zero-shot TTS model with fine-grained emotion control via emotion vectors, no emotion-specific training data required.

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SSML-i siltidesse teksti segamine täpseks kontrollimiseks:

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

Sildid valitud mudelil mõistavad ~ klõpsa ühe kukutamiseks teksti, kus see juhtub:

See mudel loeb lihtsat teksti, nii et sisemisi silte ignoreeritakse. Sildil põhinevate emotsioonide puhul lülituge ekspressiivsele mudelile nagu Orpheus või Bark.

Kohandatud häälduste määramine (sõna = hääldus):

-12 +12
0.5x 2.0x
Tasuta Piper, VITS, MeloTTS
Siin ilmub sinu loodud heli. Vali mudel, sisesta tekst ja klõpsa Genereeri.
Audio genereeritud edukalt
0:00
Audio allalaadimine Lae alla.srt Link aegub 24 tunni pärast.
Tasuta tase: isiklik kasutamine. Äriline litsents alates $5/mo
Armastus TTS.ai?

Info IndexTTS-2

IndexTTS-2, from the Index Team, is an expressive text-to-speech system that pairs zero-shot voice synthesis with precise emotional control. Rather than relying on emotion-labeled training data, it uses emotion vectors to dial in tones like happy, sad, angry, or fearful independently of the voice itself. Built on a Qwen2 backbone with BigVGAN as the vocoder, it supports English and Chinese and can clone a voice from roughly five seconds of reference audio. It suits audiobooks, virtual assistants, and any content where the same voice needs to shift emotional register. Its weights use the Bilibili Model License, which permits commercial use below large usage and revenue thresholds.

Parim: Emotionally expressive content, audiobooks, virtual assistants

Kõigi sirvimine IndexTTS-2 hääled

Põgusalt

Arendaja
Index Team
Litsents
Bilibili Model License
Määramistasand
standard
Kiirus
medium
Hääle kloonimine
Jah
Keeled
English, Chinese
Maks. märgid
1000

IndexTTS-2 hääled

Chinese Default

Chinese
Standardne Neutral

Default

English
Standardne Neutral

IndexTTS-2 TTS (KKK)

It uses emotion vectors that let you specify tones such as happy, sad, angry, or fearful without needing emotion-specific training data, and the emotional expression is controlled independently from the voice identity.

Yes. It performs zero-shot voice cloning from a short reference, typically around five seconds of audio, in English or Chinese.

Its weights are released under the Bilibili Model License, which allows commercial use for products below defined user and revenue thresholds. Larger deployments should review the license terms.
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