|
--- |
|
license: other |
|
license_name: coqui-public-model-license |
|
license_link: https://coqui.ai/cpml |
|
library_name: coqui |
|
pipeline_tag: text-to-speech |
|
--- |
|
|
|
# ⓍTTS |
|
ⓍTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. Built on Tortoise, |
|
ⓍTTS has important model changes that make cross-language voice cloning and multi-lingual speech generation super easy. |
|
There is no need for an excessive amount of training data that spans countless hours. |
|
|
|
This is the same model that powers [Coqui Studio](https://coqui.ai/), and [Coqui API](https://docs.coqui.ai/docs), however we apply |
|
a few tricks to make it faster and support streaming inference. |
|
|
|
### Features |
|
- Supports 14 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. |
|
|
|
### Languages |
|
As of now, XTTS-v1 (v1.1) supports 14 languages: **English, Spanish, French, German, Italian, Portuguese, |
|
Polish, Turkish, Russian, Dutch, Czech, Arabic, Chinese, and Japanese**. |
|
|
|
Stay tuned as we continue to add support for more languages. If you have any language requests, please feel free to reach out! |
|
|
|
### Code |
|
The current implementation only supports inference. |
|
|
|
### License |
|
This model is licensed under [Coqui Public Model License](https://coqui.ai/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://coqui.ai/blog/tts/cpml). |
|
|
|
### Contact |
|
Come and join in our 🐸Community. We're active on [Discord](https://discord.gg/fBC58unbKE) and [Twitter](https://twitter.com/coqui_ai). |
|
You can also mail us at [email protected]. |
|
|
|
Using 🐸TTS API: |
|
|
|
```python |
|
from TTS.api import TTS |
|
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1", gpu=True) |
|
|
|
# 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") |
|
|
|
# generate speech by cloning a voice using custom 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", |
|
decoder_iterations=30) |
|
``` |
|
|
|
Using 🐸TTS Command line: |
|
|
|
```console |
|
tts --model_name tts_models/multilingual/multi-dataset/xtts_v1 \ |
|
--text "Bugün okula gitmek istemiyorum." \ |
|
--speaker_wav /path/to/target/speaker.wav \ |
|
--language_idx tr \ |
|
--use_cuda true |
|
``` |
|
|
|
Using 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", |
|
) |
|
``` |
