High-Throughput Audio Recognition and Analytics System for Broadcast Monitoring

The client faces the challenge of reliably monitoring and identifying a high volume of audio content—up to 8 GB per second—from numerous radio and TV stations operating 24/7. Manual tracking is impractical due to data volume and frequency, necessitating an automated, scalable system that can analyze broadcast streams in real-time, store recognition data efficiently, and generate comprehensive reports for industry stakeholders.

A large media organization with multiple radio and television stations requiring continuous audio content recognition, analytics, and reporting capabilities for broadcast monitoring and industry analysis.

• Develop a scalable backend system capable of processing up to 8 GB of audio data per second from multiple live broadcast sources.
• Implement real-time audio fingerprinting and recognition algorithms to accurately identify music tracks as they are broadcast.
• Design a web portal that displays detailed statistics, charts, and reports on recognized content, enabling industry analysis.
• Ensure high system availability and performance, capable of recognizing over 650,000 broadcasts per month with a 99.9% uptime target.
• Integrate hardware monitoring tools for TV and radio channels to support continuous operations and alerting.
• Implement a robust, high-speed database optimized for random read operations, with the capacity to store over 300,000 tracks and handle large data throughput.

• Real-time monitoring of selected radio and TV stations with automated audio stream analysis.
• Advanced audio fingerprinting using an enhanced pattern recognition algorithm.
• High-speed local storage of track fingerprints utilizing an ultrafast embedded database (e.g., LMDB).
• Detailed dashboards displaying recognition counts, track statistics, and broadcast analytics.
• Automatic report generation for periodic (weekly, monthly, yearly) summaries and industry analysis.
• Dedicated hardware setup for monitoring television channels and capturing broadcast streams.
• System health monitoring with custom dashboards and automated alerts for operational anomalies.

• Broadcast stream metadata extraction and auto-insertion
• Monitoring hardware interfaces for TV and radio channels
• Reporting and analytics tools for industry stakeholders

• Processing capacity of approximately 8 GB of data per second with real-time recognition.
• Support for over 650,000 recognitions per month with high throughput.
• High availability architecture with full redundancy and fault tolerance.
• Sub-200ms response time for recognition queries and data retrieval.
• 24/7 operation with minimal downtime and automated alerting.

The implementation of this high-scale audio recognition and analytics platform will enable the client to automate the monitoring of numerous broadcast stations, significantly reducing manual effort. With capabilities to recognize over 650,000 broadcasts monthly and maintain a database of 300,000+ tracks, the client can deliver accurate, timely reports and insights. This will enhance industry transparency, support licensing and royalty processes, and provide comprehensive broadcast analytics, ultimately leading to improved operational efficiency and industry compliance.