| --- |
| license: other |
| library_name: coqui |
| --- |
| |
| # ⓍTTS |
| ⓍTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 3-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 13 languages. |
| - Voice cloning with just a 3-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 supports 13 languages: **English, Spanish, French, German, Italian, Portuguese, |
| Polish, Turkish, Russian, Dutch, Czech, Arabic, and Chinese**. |
|
|
| 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 info@coqui.ai. |
|
|
| 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", |
| ) |
| ``` |
