IndexTTS-2 TTS
A zero-shot TTS model with fine-grained emotion control via emotion vectors, no emotion-specific training data required.
Kpọchie ngwe gị n'ime SSML táàbụ̀ maka nlekọta ziri ezi:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Táàbụ̀ nke móòdù ahụ a họọrọ na-aghọta - pịa ka ịkpụga otu n'ime ngwe gị ebe ọ na-eme:
Móòdù a na-agụ ngwe nkịtị, yabụ na a na-ewepụta inline táàbụ̀. Maka táàbụ̀-n'okpuru n'émóòdù, gbanwee ka móòdù na-egosi ihe dịka Orpheus mọọbụ Bark.
Ndesịta okwu emeredịkachọrọ:
_N'ihe banyere 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.
Ọkachasị maka: Emotionally expressive content, audiobooks, virtual assistants
Nlegharịa niile IndexTTS-2 ụdaN'ime nlele
- Ńkwádò
- Index Team
- Ikikere
- Bilibili Model License
- Tier
- standard
- Nhazi
- medium
- Nhazi ụda
- Ee
- Asụsụ ndị ahụ
- English, Chinese
- Ụhara Max
- 1000