Video Conference Automation – R&D Experiments

Project Description

This project explores innovative methods for automating meeting documentation through video upload, audio extraction, speech-to-text transcription, and dialogue analysis using artificial intelligence.

🔬 Main Experiments

• • Experiment 1 – Video Upload & Speaker Separation
  Upload video → extract audio → generate transcript with automatic speaker identification.
• • Experiment 2 – Advanced Audio Extraction & Cleaning
  Clean audio → reduce noise and improve transcription accuracy.
• • Experiment 3 – AI-Powered Transcription & Dialogue Analysis
  Convert speech to text → analyse speaker dynamics (who spoke, when, and how long).
• • Experiment 4 – Media Statistics & Reporting
  Generate benchmarks such as file size, duration, word count, and processing time.
• • Use Cases – Video Conference Automation
  Comprehensive overview of automation use cases and strategic impact.

⚙️ Technologies

• • Node.js + Express.js – Fast, scalable server-side framework
• • FFmpeg – Industry-standard video & audio processing
• • AI Models – Advanced speech recognition & dialogue analysis
• • Web Interface – Simple design for rapid experimentation

🧭 How to Use

Start with Experiment 1 (upload & transcription).
Progress through Experiments 2–4 for cleaning, AI analysis, and reporting.
Explore Use Cases to understand the strategic value and applications.

📊 Experiment Modules