# Voice Cloning Model

This is a few-shot voice cloning model based on meta-learning approach. The model can clone a voice using just a few seconds of audio samples.

## Model Description

- **Model Type:** Speaker Encoder (Voice Cloning)
- **Language(s):** Language Independent
- **License:** MIT
- **Parent Model:** None
- **Resources for more information:**
  - [GitHub Repository](https://github.com/yourusername/voice_clone_app)

## Uses

This model is designed for:
- Voice cloning with few samples
- Speaker verification
- Voice similarity analysis

### Training Data

The model was trained on:
- VCTK Dataset (109 speakers)
- Each speaker has approximately 400 utterances
- High-quality audio recordings at 48kHz

### Training Procedure

The model was trained using:
- Meta-learning approach (few-shot learning)
- Contrastive loss function
- Data augmentation techniques

## Performance and Limitations

### Performance Factors

The model's performance depends on:
- Quality of input audio
- Length of reference audio
- Similarity between source and target voices

### Out-of-Scope Use

This model should not be used for:
- Generating fake or misleading content
- Impersonating without consent
- Commercial use without proper licensing

## Ethical Considerations

Please use this model responsibly:
- Obtain proper consent before cloning someone's voice
- Be transparent about AI-generated content
- Consider privacy implications

## Technical Specifications

- Input: Mel-spectrogram of audio
- Output: Speaker embedding vector (512-dim)
- Framework: PyTorch
- Model Size: ~10MB