Building an AI-Powered VoIP Call Quality Analysis Service FastAPI + NISQA Neural Model + Silero VAD + Claude AI A production-grade service that replaces manual call quality reviews with automated, neural-network-powered audio analysis and AI-generated reports. Table of Contents The Problem What We Are Building Architecture Overview Prerequisites Project Setup Core Audio Processing: SoX and FFmpeg NISQA Neural MOS Scoring Silero VAD: Voice Activity Detection Recording Retrieval from Remote Servers The Analysis Pipeline API Endpoint Design AI-Powered Analysis with Claude The Admin AI Assistant SQLite Caching Layer Systemd Service Deployment Production Tips and Optimization Troubleshooting Complete File Reference 1. The Problem Call centers generate thousands of recordings per day. When a customer complains about audio quality, or a manager suspects one-way audio on a trunk, someone has to manually listen to recordings and guess at the problem. This process is: Slow.…