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--- |
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license: other |
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license_name: coqui-public-model-license |
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license_link: https://coqui.ai/cpml |
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library_name: coqui |
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pipeline_tag: text-to-speech |
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widget: |
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- text: "Once when I was six years old I saw a magnificent picture" |
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--- |
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# ⓍTTS_v2 - Peter Drury Fine-Tuned Model |
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This repository hosts a fine-tuned version of the ⓍTTS model. |
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Listen to a sample of the ⓍTTS_v2 - Peter Drury Fine-Tuned Model: |
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<audio controls> |
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<source src="https://huggingface.co./kodoqmc/XTTS-v2_PeterDrury/resolve/main/fromtts.wav" type="audio/wav"> |
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Your browser does not support the audio element. |
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</audio> |
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Here's a Peter Drury mp3 voice line clip from the training data: |
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<audio controls> |
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<source src="https://huggingface.co./kodoqmc/XTTS-v2_PeterDrury/resolve/main/reference.wav" type="audio/wav"> |
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Your browser does not support the audio element. |
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</audio> |
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## Features |
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- 🎙️ **Voice Cloning**: Realistic voice cloning with just a short audio clip. |
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- 🌍 **Multi-Lingual Support**: Generates speech in 17 different languages while maintaining Peter Drury's voice. |
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- 😃 **Emotion & Style Transfer**: Captures the emotional tone and style of the original voice. |
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- 🔄 **Cross-Language Cloning**: Maintains the unique voice characteristics across different languages. |
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- 🎧 **High-Quality Audio**: Outputs at a 24kHz sampling rate for clear and high-fidelity audio. |
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## Supported Languages |
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The model supports the following 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), and Hindi (hi). |
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## Usage in Roll Cage |
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🤖💬 Boost your AI experience with this Ollama add-on! Enjoy real-time audio 🎙️ and text 🔍 chats, LaTeX rendering 📜, agent automations ⚙️, workflows 🔄, text-to-image 📝➡️🖼️, image-to-text 🖼️➡️🔤, image-to-video 🖼️➡️🎥 transformations. Fine-tune text 📝, voice 🗣️, and image 🖼️ gens. Includes Windows macro controls 🖥️ and DuckDuckGo search. |
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[ollama_agent_roll_cage (OARC)](https://github.com/Leoleojames1/ollama_agent_roll_cage) is a completely local Python & CMD toolset add-on for the Ollama command line interface. The OARC toolset automates the creation of agents, giving the user more control over the likely output. It provides SYSTEM prompt templates for each ./Modelfile, allowing users to design and deploy custom agents quickly. Users can select which local model file is used in agent construction with the desired system prompt. |
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## CoquiTTS and Resources |
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- 🐸💬 **CoquiTTS**: [Coqui TTS on GitHub](https://github.com/coqui-ai/TTS) |
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- 📚 **Documentation**: [ReadTheDocs](https://tts.readthedocs.io/en/latest/) |
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- 👩💻 **Questions**: [GitHub Discussions](https://github.com/coqui-ai/TTS/discussions) |
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- 🗯 **Community**: [Discord](https://discord.gg/5eXr5seRrv) |
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## License |
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This model is licensed under the [Coqui Public Model License](https://coqui.ai/cpml). Read more about the origin story of CPML [here](https://coqui.ai/blog/tts/cpml). |
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## Contact |
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Join our 🐸Community on [Discord](https://discord.gg/fBC58unbKE) and follow us on [Twitter](https://twitter.com/coqui_ai). For inquiries, email us at [email protected]. |
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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(model_path="D:/AI/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_PeterDrury/", |
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config_path="D:/AI/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_PeterDrury/config.json", progress_bar=False, gpu=True).to(self.device) |
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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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``` |
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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_v2 \ |
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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 the 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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``` |
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