# Encoder Model

This directory contains the pre-trained encoder model for voice conversion.

## Model Details
- **File**: `encoder.pt`
- **Size**: ~17.1 MB
- **Input**: Audio waveform
- **Output**: Speaker embeddings

## Usage
```python
# Load the encoder model
encoder = torch.load('encoder.pt')
encoder.eval()

# Process audio
with torch.no_grad():
    embedding = encoder(audio_tensor)
```

## Dependencies
- PyTorch
- NumPy
- Librosa (for audio processing)

## Model Configuration
See `config.json` for model architecture and training parameters.