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.…