System Analysis and Performance Tuning for Broadcast Audio Fingerprinting

An audio fingerprint is a content-based compact signature that summarizes an audio recording. Audio Fingerprinting technologies have recently attracted attention since they allow the monitoring of audio independently of its format and without the need of meta-data or watermark embedding. These technologies need to face channel robustness as well as system accuracy and scalability to succeed on real audio broadcasting environments. This paper presents a complete audio fingerprinting system for audio broadcasting monitoring that satisfies the above system requirements. The system performance is enhanced with four proposals that required detailed analysis of the system blocks as well as extense system tuning experiments.