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README.md
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- **Voice-to-Voice Cloning**: Transform input audio using reference voice
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- **Text-to-Speech**: Generate speech in cloned voice
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- **Multi-language Support**: 8+ languages supported
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- **High Quality**: Professional 24kHz audio output
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##
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1. Upload reference voice (6+ seconds)
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2. Either upload input audio or enter text
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3. Click clone/generate button
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4. Download result
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- **Languages**: English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese
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---
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title: Voice Cloning Studio
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emoji: π€
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: "4.44.0"
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app_file: app.py
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pinned: false
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preload_from_hub:
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- coqui/XTTS-v2
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- openai/whisper-base
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---
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# π Voice Cloning Studio
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Real voice-to-voice and text-to-speech cloning using XTTS-v2 and Whisper AI.
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## β¨ Features
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- **π€ Voice-to-Voice Cloning**: Transform input audio using reference voice characteristics
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- **π Text-to-Speech**: Generate speech in any cloned voice
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- **π Multi-language Support**: 8+ languages supported
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- **π΅ High Quality**: Professional 24kHz audio output
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- **β‘ Real-time Processing**: Fast voice cloning with XTTS-v2
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## π How to Use
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### Voice-to-Voice Cloning
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1. **Upload Reference Voice** - 6+ seconds of clear speech from the person to clone
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2. **Upload Input Audio** - Speech content you want to transform
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3. **Select Language** - Choose target language
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4. **Click "Clone Voice"** - AI will extract content and apply reference voice
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5. **Download Result** - New audio with same content, different voice
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### Text-to-Speech Cloning
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1. **Upload Reference Voice** - Voice sample to clone
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2. **Enter Text** - Type what you want the cloned voice to say
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3. **Generate Speech** - Create natural speech in the cloned voice
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4. **Download Result** - High-quality synthesized audio
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## π§ Technical Details
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- **TTS Model**: XTTS-v2 (Coqui AI) - State-of-the-art voice cloning
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- **Speech Recognition**: Whisper (OpenAI) - Accurate transcription
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- **Languages**: English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese
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- **Quality**: 24kHz professional audio generation
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- **Processing**: CPU/GPU optimized with automatic fallbacks
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## π‘ Tips for Best Results
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- **Reference Audio**: Use clear, single-speaker recordings with minimal background noise
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- **Length**: 6-10 seconds of reference audio works best
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- **Quality**: Higher quality input leads to better cloning results
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- **Language**: Match reference voice language when possible for optimal results
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## π οΈ Built With
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- [XTTS-v2](https://huggingface.co/coqui/XTTS-v2) - Voice cloning model
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- [Whisper](https://github.com/openai/whisper) - Speech recognition
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- [Gradio](https://gradio.app/) - Web interface
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- [HuggingFace Spaces](https://huggingface.co/spaces) - Hosting platform
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---
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**Note**: This space implements real voice cloning technology. Please use responsibly and respect others' voice rights and privacy.
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