# my_vits_model

## Model Description
A VITS-based TTS model for English speech synthesis

- **Language(s)**: English
- **Type**: Single-speaker Text-to-Speech
- **Model Type**: VITS
- **Framework**: Coqui TTS
- **Uploaded**: 2025-05-29

## Intended Use
- **Primary Use**: Generating single-speaker speech from text input for applications like virtual assistants, audiobooks, or accessibility tools.
- **Out of Scope**: Real-time applications if not optimized for low latency.

## Usage
To load and use the model:
```python
from safetensors.torch import load_file
from TTS.config import load_config
from TTS.tts.models import setup_model

# Load configuration
config = load_config("config.json")
model = setup_model(config)

# Load weights
state_dict = load_file("my_vits_model.safetensors")
model.load_state_dict(state_dict)
model.eval()

# Example inference
text = "Hello, this is a test."
wav = model.inference(text, speaker_id=0 if False else None)
```

## Training Data
- **Dataset**: Custom dataset
- **Preprocessing**: Text normalized, audio sampled at 22050 Hz

## Evaluation
- **Metrics**: [Add metrics, e.g., Mean Opinion Score (MOS), Word Error Rate (WER)]
- **Results**: [Add results, e.g., "Achieved MOS of 4.2 on test set"]

## Limitations
- Limited to English language(s).
- Performance may vary with noisy or complex input text.
- 

## License
- Released under apache-2.0.

## Ethical Considerations
- Ensure responsible use to avoid generating misleading or harmful audio content.
- Verify input text to prevent biased or offensive outputs.

## Dependencies
- `TTS` (Coqui TTS)
- `safetensors`
- `torch`