| ---
|
| 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",
|
| )
|
| ```
|
|
|
