IndexTTS-2

IndexTTS-2 TTS

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

Upišite se za 5000 ograničenja znakova

Umotaj svoj tekst u SSML oznake za preciznu kontrolu:

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

Oznake odabrani model razumije — kliknite da bacite jedan u vaš tekst gdje se to događa:

Ovaj model čita običan tekst, tako da inline oznake se zanemaruju. Za tag-based emocije, prebaci na ekspresivni model kao što su Orfeus ili Bark.

Definiši vlastite izgovore (riječ = izgovor):

-12 +12
0.5x 2.0x
Besplatno s Piper, VITS, Melotts
Ovdje će se pojaviti vaš generirani zvuk. Odaberite model, unesite tekst i kliknite Generirati.
Zvučni generisan uspješno
0:00
Preuzmi zvuk Preuzmite.rt Veza isteče za 24 sata
Besplatna uporaba: osobna upotreba. Komercijalna licenca od $5/mo
Reci svojim prijateljima!

O 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.

Najbolje za: Emotionally expressive content, audiobooks, virtual assistants

Pregledaj sve IndexTTS-2 glasovi

Na jedan pogled

Programer
Index Team
Dozvola
Bilibili Model License
Nivo
standard
Brzina
medium
Kloniranje glasa
-Da.
Jezici
English, Chinese
Maks. znakova
1000

IndexTTS-2 glasovi

Chinese Default

Chinese
Standardno Neutral

Default

English
Standardno Neutral

IndexTTS-2 TTS – FAQ

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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