---
license: other
license_name: coqui-public-model-license
license_link: https://tts-hub.github.io/cpml
library_name: coqui
pipeline_tag: text-to-speech
base_model: coqui/XTTS-v2
language:
- multilingual
- en
- es
- fr
- de
- it
- pt
- pl
- tr
- ru
- nl
- cs
- ar
- zh
- hu
- ko
- ja
- hi
widget:
  - text: "Once when I was six years old I saw a magnificent picture"
    output:
      url: samples/en_sample.wav
  - text: "Als ich sechs war, sah ich einmal ein wunderbares Bild"
    output:
      url: samples/de_sample.wav
  - text: "Cuando tenía seis años, vi una vez una imagen magnífica"
    output:
      url: samples/es_sample.wav
  - text: "Lorsque j'avais six ans j'ai vu, une fois, une magnifique image"
    output:
      url: samples/fr_sample.wav
  - text: "かつて 六歳のとき、素晴らしい絵を見ました"
    output:
      url: samples/ja-sample.wav
  - text: "Bir zamanlar, altı yaşındayken, muhteşem bir resim gördüm"
    output:
      url: samples/tr_sample.wav
  - text: "当我还只有六岁的时候， 看到了一副精彩的插画"
    output:
      url: samples/zh-cn-sample.wav
  - text: "Quando eu tinha seis anos eu vi, uma vez, uma imagem magnífica"
    output:
      url: samples/pt_sample.wav
---

# XTTS
XTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. There is no need for an excessive amount of training data that spans countless hours.

Paper: https://arxiv.org/abs/2406.04904

### Features
- Supports 17 languages.
- Voice cloning with just a 6-second audio clip.
- Emotion and style transfer by cloning.
- Cross-language voice cloning.
- Multi-lingual speech generation.
- 24khz sampling rate.

### Updates over XTTS-v1
- 2 new languages; Hungarian and Korean
- Architectural improvements for speaker conditioning.
- Enables the use of multiple speaker references and interpolation between speakers.
- Stability improvements.
- Better prosody and audio quality across the board.

### Languages
XTTS-v2 supports 17 languages: **English (en), Spanish (es), French (fr), German (de), Italian (it), Portuguese (pt),
Polish (pl), Turkish (tr), Russian (ru), Dutch (nl), Czech (cs), Arabic (ar), Chinese (zh-cn), Japanese (ja), Hungarian (hu), Korean (ko)
Hindi (hi)**.

### Code
The [code-base](https://github.com/idiap/coqui-ai-TTS) supports inference and [fine-tuning](https://coqui-tts.readthedocs.io/en/latest/models/xtts.html#training).

|                                 |                                         |
| ------------------------------- | --------------------------------------- |
| 🐸💬 **CoquiTTS**               | [GitHub](https://github.com/idiap/coqui-ai-TTS)|
| 💼 **Documentation**            | [ReadTheDocs](https://coqui-tts.readthedocs.io)
| 👩‍💻 **Questions**                | [GitHub Discussions](https://github.com/idiap/coqui-ai-TTS/discussions) |
| 🗯 **Community**         | [Discord](https://discord.gg/5eXr5seRrv)  |


### License
This model is licensed under [Coqui Public Model License](https://tts-hub.github.io/cpml). There's a lot that goes into a license for generative models, and you can read more of [the origin story of CPML here](https://web.archive.org/web/20240217095217/https://coqui.ai/blog/tts/cpml).

### Contact
Come and join in our 🐸Community, we're active on [Discord](https://discord.gg/fBC58unbKE).

Using 🐸TTS API:

```python
from TTS.api import TTS
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to("cuda")

# Generate speech by cloning a voice using default settings
tts.tts_to_file(
  text="It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",
  file_path="output.wav",
  speaker_wav="/path/to/target/speaker.wav",
  language="en"
)

```

Using 🐸TTS Command line:

```console
tts --model_name tts_models/multilingual/multi-dataset/xtts_v2 \
    --text "Bugün okula gitmek istemiyorum." \
    --speaker_wav /path/to/target/speaker.wav \
    --language_idx tr \
    --use_cuda true
```

Using the model directly:

```python
from TTS.tts.configs.xtts_config import XttsConfig
from TTS.tts.models.xtts import Xtts

config = XttsConfig()
config.load_json("/path/to/xtts/config.json")
model = Xtts.init_from_config(config)
model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True)
model.cuda()

outputs = model.synthesize(
    "It took me quite a long time to develop a voice and now that I have it I am not going to be silent.",
    config,
    speaker_wav="/data/TTS-public/_refclips/3.wav",
    gpt_cond_len=3,
    language="en",
)
```