IndexTTS-2

IndexTTS-2 TTS

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

Vpišite se. za 5000 mejnih vrednosti znakov

Za natančen nadzor zavijte svoje besedilo v oznake SSML:

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

Oznake izbranega modela razume – kliknite, da spustite enega v svoje besedilo, kjer se zgodi:

Ta model bere navadno besedilo, zato se v vrstici ignorirajo. Za čustva, ki temeljijo na tag, preklopite na izražen model, kot je Orfeus ali Bark.

Opredelitev posebnih izgovorov (beseda = izgovor):

-12 +12
0.5x 2.0x
Brez Piper, VITS, Melotts
Tukaj se bo pojavil vaš ustvarjeni zvok. Izberite model, vnesite besedilo in kliknite Generiraj.
Uspešno ustvarjen zvok
0:00
Prenesi zvok Prenesi.rt Povezava poteče čez 24h
Brezplačna stopnja: osebna uporaba. Trgovska licenca od 5 $/mo
Ljubi TTS.ai, povej prijateljem!

O projektu 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.

Najboljše za: Emotionally expressive content, audiobooks, virtual assistants

Brskaj vse IndexTTS-2 glasovi

Na pogled

Razvijalec
Index Team
Licenca
Bilibili Model License
Stopnja
standard
Hitrost
medium
kloniranje glasu
Da, da.
Jeziki
English, Chinese
Največ znakov
1000

IndexTTS-2 glasovi

Chinese Default

Chinese
Standardno Neutral

Default

English
Standardno Neutral

IndexTTS-2 TTS – Pogosta vprašanja

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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