| | --- |
| | license: other |
| | --- |
| | |
| | # Ⓧ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", |
| | ) |
| | ``` |
