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IndexTTS is a GPT-style text-to-speech (TTS) model mainly based on XTTS and Tortoise. It is capable of correcting the pronunciation of Chinese characters using pinyin and controlling pauses at any position through punctuation marks. We enhanced multiple modules of the system, including the improvement of speaker condition feature representation, and the integration of BigVGAN2 to optimize audio quality. Trained on tens of thousands of hours of data, our system achieves state-of-the-art performance, outperforming current popular TTS systems such as XTTS, CosyVoice2, Fish-Speech, and F5-TTS.
Experience IndexTTS: Please contact [email protected] for more detailed information.

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• 2025/03/25 🔥🔥 We release the model parameters and inference code.
• 2025/02/12 🔥 We submitted our paper on arXiv, and released our demos and test sets.

The overview of IndexTTS is shown as follows.

The main improvements and contributions are summarized as follows:

• In Chinese scenarios, we have introduced a character-pinyin hybrid modeling approach. This allows for quick correction of mispronounced characters.
• IndexTTS incorporate a conformer conditioning encoder and a BigVGAN2-based speechcode decoder. This improves training stability, voice timbre similarity, and sound quality.
• We release all test sets here, including those for polysyllabic words, subjective and objective test sets.

Word Error Rate (WER) Results for IndexTTS and Baseline Models

Speaker Similarity (SS) Results for IndexTTS and Baseline Models

MOS Scores for Zero-Shot Cloned Voice

1. Download this repository:

git clone https://github.com/index-tts/index-tts.git

2. Install dependencies:

conda create -n index-tts python=3.10
conda activate index-tts
pip install -r requirements.txt
apt-get install ffmpeg

3. Download models:

wget https://huggingface.co/IndexTeam/Index-TTS/resolve/main/bigvgan_discriminator.pth -P checkpoints
wget https://huggingface.co/IndexTeam/Index-TTS/resolve/main/bigvgan_generator.pth -P checkpoints
wget https://huggingface.co/IndexTeam/Index-TTS/resolve/main/bpe.model -P checkpoints
wget https://huggingface.co/IndexTeam/Index-TTS/resolve/main/dvae.pth -P checkpoints
wget https://huggingface.co/IndexTeam/Index-TTS/resolve/main/gpt.pth -P checkpoints
wget https://huggingface.co/IndexTeam/Index-TTS/resolve/main/unigram_12000.vocab -P checkpoints

4. Run test script:

# Please put your prompt audio in 'test_data' and rename it to 'input.wav'
PYTHONPATH=. python indextts/infer.py

python webui.py

Open your browser and visit http://127.0.0.1:7860 to see the demo.

from indextts.infer import IndexTTS
tts = IndexTTS(model_dir="checkpoints",cfg_path="checkpoints/config.yaml")
voice="reference_voice.wav"
text="大家好，我现在正在bilibili 体验 ai 科技，说实话，来之前我绝对想不到！AI技术已经发展到这样匪夷所思的地步了！比如说，现在正在说话的其实是B站为我现场复刻的数字分身，简直就是平行宇宙的另一个我了。如果大家也想体验更多深入的AIGC功能，可以访问 bilibili studio，相信我，你们也会吃惊的。"
tts.infer(voice, text, output_path)

1. tortoise-tts
2. XTTSv2
3. BigVGAN
4. wenet
5. icefall

🌟 If you find our work helpful, please leave us a star and cite our paper.

@article{deng2025indextts,
  title={IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System},
  author={Wei Deng, Siyi Zhou, Jingchen Shu, Jinchao Wang, Lu Wang},
  journal={arXiv preprint arXiv:2502.05512},
  year={2025}
}