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| title: VoTSpeech | |
| emoji: 🗣️ | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 6.30.0 | |
| app_file: app.py | |
| short_description: Design a voice from a text description, then speak (zh) | |
| python_version: "3.12" | |
| license: cc-by-nc-4.0 | |
| startup_duration_timeout: 30m | |
| models: | |
| - Ywbn16/VoTSpeech | |
| # VoTSpeech — instruction-following voice-design TTS | |
| Demo of [**VoTSpeech**](https://huggingface.co/Ywbn16/VoTSpeech) | |
| (*Decoupling Voice Design from Speech Generation in Instruction-Following TTS*, | |
| code: [ywbn/VoTSpeech](https://github.com/ywbn/VoTSpeech)). Given text and a | |
| natural-language voice description, it designs a continuous voice latent and | |
| generates 48 kHz speech in that voice. Built on | |
| [dots.tts-soar](https://huggingface.co/dots-studio/dots.tts-soar). Trained for | |
| Mandarin Chinese. | |
| The `dots_tts/` package is the authors' inference code (Apache-2.0). | |
| Model weights: CC BY-NC 4.0 — non-commercial use only. Example prompts come | |
| from the authors' project page. Generated audio is synthetic speech; do not | |
| impersonate identifiable people without permission. | |