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--- |
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license: other |
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library_name: coqui |
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pipeline_tag: text-to-speech |
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--- |
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# ⓍTTS |
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Ⓧ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, |
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ⓍTTS has important model changes that make cross-language voice cloning and multi-lingual speech generation super easy. |
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There is no need for an excessive amount of training data that spans countless hours. |
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This is the same model that powers [Coqui Studio](https://coqui.ai/), and [Coqui API](https://docs.coqui.ai/docs), however we apply |
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a few tricks to make it faster and support streaming inference. |
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### Features |
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- Supports 13 languages. |
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- Voice cloning with just a 3-second audio clip. |
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- Emotion and style transfer by cloning. |
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- Cross-language voice cloning. |
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- Multi-lingual speech generation. |
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- 24khz sampling rate. |
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### Languages |
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As of now, XTTS-v1 supports 13 languages: **English, Spanish, French, German, Italian, Portuguese, |
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Polish, Turkish, Russian, Dutch, Czech, Arabic, and Chinese**. |
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Stay tuned as we continue to add support for more languages. If you have any language requests, please feel free to reach out! |
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### Code |
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The current implementation only supports inference. |
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### License |
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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). |
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### Contact |
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Come and join in our 🐸Community. We're active on [Discord](https://discord.gg/fBC58unbKE) and [Twitter](https://twitter.com/coqui_ai). |
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You can also mail us at info@coqui.ai. |
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Using 🐸TTS API: |
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```python |
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from TTS.api import TTS |
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tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1", gpu=True) |
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# generate speech by cloning a voice using default settings |
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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.", |
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file_path="output.wav", |
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speaker_wav="/path/to/target/speaker.wav", |
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language="en") |
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# generate speech by cloning a voice using custom settings |
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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.", |
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file_path="output.wav", |
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speaker_wav="/path/to/target/speaker.wav", |
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language="en", |
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decoder_iterations=30) |
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``` |
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Using 🐸TTS Command line: |
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```console |
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tts --model_name tts_models/multilingual/multi-dataset/xtts_v1 \ |
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--text "Bugün okula gitmek istemiyorum." \ |
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--speaker_wav /path/to/target/speaker.wav \ |
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--language_idx tr \ |
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--use_cuda true |
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``` |
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Using model directly: |
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```python |
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from TTS.tts.configs.xtts_config import XttsConfig |
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from TTS.tts.models.xtts import Xtts |
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config = XttsConfig() |
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config.load_json("/path/to/xtts/config.json") |
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model = Xtts.init_from_config(config) |
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model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True) |
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model.cuda() |
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outputs = model.synthesize( |
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"It took me quite a long time to develop a voice and now that I have it I am not going to be silent.", |
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config, |
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speaker_wav="/data/TTS-public/_refclips/3.wav", |
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gpt_cond_len=3, |
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language="en", |
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) |
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``` |
