IndexTTS-2 TTS
A zero-shot TTS model with fine-grained emotion control via emotion vectors, no emotion-specific training data required.
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):
Mo 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.
Pai mo: Emotionally expressive content, audiobooks, virtual assistants
Ka tirohia katoa IndexTTS-2 ngā oroI te tirohanga
- Ka whakawhanakehia
- Index Team
- Ka taea te whakawātea
- Bilibili Model License
- Karaka
- standard
- Āhuatanga
- medium
- Whakakōrero reo
- He
- reo
- English, Chinese
- Kāri nui rawa
- 1000