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| license: other | |
| license_name: coqui-public-model-license | |
| license_link: https://coqui.ai/cpml | |
| library_name: coqui | |
| pipeline_tag: text-to-speech | |
| widget: | |
| - text: "Once when I was six years old I saw a magnificent picture" | |
| # ⓍTTS | |
| ⓍTTS 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. | |
| This is the same or similar model to what powers [Coqui Studio](https://coqui.ai/) and [Coqui API](https://docs.coqui.ai/docs). | |
| ### 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)**. | |
| Stay tuned as we continue to add support for more languages. If you have any language requests, feel free to reach out! | |
| ### Code | |
| The [code-base](https://github.com/coqui-ai/TTS) supports inference and [fine-tuning](https://tts.readthedocs.io/en/latest/models/xtts.html#training). | |
| ### Demo Spaces | |
| - [XTTS Space](https://huggingface.co/spaces/coqui/xtts) : You can see how model performs on supported languages, and try with your own reference or microphone input | |
| - [XTTS Voice Chat with Mistral or Zephyr](https://huggingface.co/spaces/coqui/voice-chat-with-mistral) : You can experience streaming voice chat with Mistral 7B Instruct or Zephyr 7B Beta | |
| | | | | |
| | ------------------------------- | --------------------------------------- | | |
| | 🐸💬 **CoquiTTS** | [coqui/TTS on Github](https://github.com/coqui-ai/TTS)| | |
| | 💼 **Documentation** | [ReadTheDocs](https://tts.readthedocs.io/en/latest/) | |
| | 👩💻 **Questions** | [GitHub Discussions](https://github.com/coqui-ai/TTS/discussions) | | |
| | 🗯 **Community** | [Discord](https://discord.gg/5eXr5seRrv) | | |
| ### 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_v2", 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") | |
| ``` | |
| 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", | |
| ) | |
| ``` | |