---
# Generated at 2026-01-29T18:15:41Z from templates/weights/README.md.j2
license: cc-by-nc-4.0
language:
  - eng
  - zho
tags:
  - tts
  - text-to-speech
  - speech-synthesis
  - voice-cloning
library_name: ttsdb
pipeline_tag: text-to-speech

---

# E2 TTS

> **This is a mirror of the original weights for use with [TTSDB](https://github.com/ttsds/ttsdb).**
> 
> Original weights: [https://huggingface.co/SWivid/E2-TTS](https://huggingface.co/SWivid/E2-TTS)
> Original code: [https://github.com/SWivid/F5-TTS](https://github.com/SWivid/F5-TTS)


A non-autoregressive masked U-Net transformer text-to-speech model.



## Original Work

This model was created by the original authors. Please cite their work if you use this model:


```bibtex
@inproceedings{e2-tts,
  title={{E2 TTS}: Embarrassingly easy fully non-autoregressive zero-shot tts},
  author={Eskimez, Sefik Emre and Wang, Xiaofei and Thakker, Manthan and Li, Canrun and Tsai, Chung-Hsien and Xiao, Zhen and Yang, Hemin and Zhu, Zirun and Tang, Min and Tan, Xu and others},
  booktitle={2024 IEEE Spoken Language Technology Workshop (SLT)},
  pages={682--689},
  year={2024},
  organization={IEEE}
}
```



**Papers:**

- https://ieeexplore.ieee.org/abstract/document/10832320



## Installation

```bash
pip install ttsdb-e2-tts
```

## Usage

```python
from ttsdb_e2_tts import E2TTS

# Load the model (downloads weights automatically)
model = E2TTS(model_id="ttsds/E2 TTS")

# Synthesize speech
audio, sample_rate = model.synthesize(
    text="Hello, this is a test of E2 TTS.",
    reference_audio="path/to/reference.wav",
    text_reference="Transcript of the reference audio.",
    language="en",
)

# Save the output
model.save_audio(audio, sample_rate, "output.wav")
```

## Model Details

| Property | Value |
|----------|-------|
| **Sample Rate** | 24000 Hz |
| **Parameters** | 335M |
| **Architecture** | Non-Autoregressive, Masked, Flow Matching, U-Net Transformer |
| **Languages** | English, Chinese |
| **Release Date** | 2024-10-30 |


### Training Data


- [Emilia Dataset](https://huggingface.co/datasets/amphion/Emilia-Dataset) (100000 hours)




## License

- **Weights:** Creative Commons Attribution-NonCommercial 4.0
- **Code:** MIT License

Please refer to the original repositories for full license terms.

## Links

- **Original Code:** [https://github.com/SWivid/F5-TTS](https://github.com/SWivid/F5-TTS)
- **Original Weights:** [https://huggingface.co/SWivid/E2-TTS](https://huggingface.co/SWivid/E2-TTS)
- **TTSDB Package:** [ttsdb-e2-tts](https://pypi.org/project/ttsdb-e2-tts/)
- **TTSDB GitHub:** [https://github.com/ttsds/ttsdb](https://github.com/ttsds/ttsdb)