Text-to-Speech
coqui
XTTS-v2 / README.md
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---
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",
)
```