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| title: Hindi Voice Cloning (VibeVoice) |
| emoji: 🎙️ |
| colorFrom: red |
| colorTo: purple |
| sdk: gradio |
| sdk_version: "4.44.0" |
| app_file: app.py |
| pinned: false |
| --- |
| |
| # 🇮🇳 Hindi Voice Cloning with Emotion |
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| This Hugging Face Space provides **high-quality Hindi Text-to-Speech with voice cloning and expressive emotion**. |
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| Users can upload a short reference voice sample and generate Hindi speech in the **same voice, tone, and emotional style**. |
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| The system is powered by **VibeVoice-7B** with **Hindi LoRA fine-tuning**, optimized for natural prosody and long-form speech. |
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| ## ✨ Features |
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| - 🎙️ Voice cloning from uploaded reference audio |
| - 🎭 Emotion & speaking style transfer |
| - 🗣️ Natural-sounding Hindi TTS |
| - 📄 Long-form narration support |
| - 🚀 GPU-accelerated inference |
| - 🎚️ Expression strength control (CFG scale) |
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| ## 🧪 How to Use |
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| 1. Enter Hindi text in the text box |
| 2. Upload a **reference voice (WAV format)** |
| 3. Adjust **Expression Strength (CFG Scale)** |
| 4. Click **🚀 Generate Voice** |
| 5. Listen to or download the generated audio |
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| ## 🎧 Reference Voice Guidelines (Very Important) |
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| For best quality voice cloning: |
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| - WAV format only |
| - 10–30 seconds duration recommended |
| - Single speaker |
| - Clear audio, minimal background noise |
| - Natural emotion (happy, calm, sad, etc.) |
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| > ⚠️ Emotion is copied from the **reference voice**, not from the text. |
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| ## 🎭 Expression Control (CFG Scale) |
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| | CFG Scale | Effect | |
| |---------|------| |
| | 0.8 – 1.0 | Calm / neutral | |
| | 1.2 – 1.4 | Natural & expressive (recommended) | |
| | 1.5 – 2.0 | Strong emotion (may distort if too high) | |
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| ## ⚠️ System Requirements |
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| - ✅ GPU required |
| - Recommended: A10 / A100 / H100 |
| - ❌ CPU-only Spaces will not work |
| - ⏳ First run may take time due to model loading |
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| ## 🔐 Privacy & Data Handling |
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| - Uploaded voice files are used **only for generation** |
| - Voice files are overwritten per request |
| - No permanent storage or reuse of user voices |
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| ## 🚫 Responsible Use Policy |
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| This Space is intended for **research and demonstration purposes only**. |
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| ❌ Do NOT clone voices of real individuals without **explicit consent** |
| ❌ Do NOT use for impersonation, fraud, or misinformation |
| ❌ Do NOT present generated audio as real recordings |
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| ✔ Always disclose AI-generated audio when sharing publicly |
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| ## 🧠 Model Information |
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| - **Base Model:** VibeVoice-7B |
| - **Hindi Fine-Tuning:** Hindi LoRA adapters |
| - **Architecture:** LLM + acoustic & semantic tokenizers + diffusion head |
| - **Technique:** LoRA (parameter-efficient fine-tuning) |
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| ## 📜 License |
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| MIT License |
| (Same as the base VibeVoice model and adapters) |
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| ## 🙏 Acknowledgements |
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| - Microsoft Research – VibeVoice |
| - VibeVoice Community |
| - Hugging Face Open-Source Ecosystem |
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| ### ⚡ Note |
| This is a **research/demo Space**, not recommended for production or real-time applications. |
