src/deploy/model_card.md

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

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