Audio Detector Pro 🎵

Audio Detector Pro is a desktop application that analyzes audio files to detect speech and non-speech segments using WebRTC VAD. It visualizes the results on an interactive timeline and supports various audio formats (WAV, MP3, FLAC, OGG, M4A) via FFmpeg.

Features ✨

• Speech Detection (VAD): Accurate speech/silence segmentation using WebRTC VAD.
• Fine-grained Control: Configurable Sensitivity and Frame Duration settings.
• Timeline Visualization: Interactive visualization of speech segments. (Speech: Green, Silence: Grey)
• Multi-format Support: Native WAV support + MP3, FLAC, OGG, M4A support (requires FFmpeg).
• Auto FFmpeg Setup: Automatically detects or downloads FFmpeg/ffprobe if missing.
• Click & Drag: Click to browse files or simply drag audio files into the window.
• Dual Theme: Dark mode 🌙 and Light mode ☀️ support with persistent settings.
• Real-time Progress: Visual progress bar for audio conversion and analysis status.

Requirements 🛠️

• Python 3.10+
• PyQt6
• webrtcvad
• pydub
• requests

Installation 📥

1. Clone the repository

   git clone https://github.com/your-username/AudioDetectorPro.git
   cd AudioDetectorPro

2. Create a virtual environment

   # macOS / Linux
   python3 -m venv venv
   source venv/bin/activate
   
   # Windows
   python -m venv venv
   .\venv\Scripts\activate

3. Install dependencies

   pip install -r requirements.txt

Usage 🚀

1. Run the application

   ./venv/bin/python main.py
   # or
   python main.py

2. Analyze Audio

   • Click the drop zone area to select a file via dialog.
   • Or Drag & Drop an audio file onto the window.
   • The analysis will start automatically.
   • Adjust Sensitivity and Frame Duration for better results if needed.

3. View Results

   • Check Total Duration, Speech Duration, and Non-Speech Duration.
   • Hover over the Timeline to see precise timestamps and segment types.
   • Toggle Dark Mode with the button in the top-right corner.