# Real-Time Voice Analyzer

## Description
The Real-Time Voice Analyzer is a Python-based CLI tool designed to analyze audio streams in real-time to detect potential AI-generated voices. It uses deep learning models and audio fingerprinting techniques to flag synthetic audio, making it ideal for integration into fraud prevention systems or live communication platforms.

## Features
- Real-time audio stream analysis (future enhancement)
- Detection of synthesized voices
- Confidence scoring for AI-generated content
- Logs suspicious audio segments for further analysis

## Installation

1. Clone the repository:
   ```bash
   git clone https://github.com/your-repo/real_time_voice_analyzer.git
   cd real_time_voice_analyzer
   ```

2. Install the required dependencies:
   ```bash
   pip install -r requirements.txt
   ```

## Usage

### Analyze an audio file
```bash
python real_time_voice_analyzer.py --input path/to/audio/file.wav --threshold 0.85
```
- `--input`: Path to the audio file to analyze.
- `--threshold`: Confidence threshold for flagging AI-generated audio (default: 0.85).

### Example
```bash
python real_time_voice_analyzer.py --input sample.wav --threshold 0.9
```

### Output
- Displays the confidence score for AI-generation.
- Logs suspicious segments if the confidence score exceeds the threshold.

## Limitations
- Real-time audio stream analysis is not yet supported.
- The AI detection model is a placeholder and should be replaced with a trained model for production use.

## License
This project is licensed under the MIT License.