AI

Survey and Evaluation of Audio Fingerprinting Schemes for Mobile Query-By-Example Applications

Abstract

We survey and evaluate popular audio fingerprinting schemes in a common framework with short query probes captured from cell phones. We report and discuss results important for mobile applications: Receiver Operating Characteristic (ROC) performance, size of fingerprints generated compared to size of audio probe, and transmission delay if the fingerprint data were to be transmitted over a wireless link. We hope that the evaluation in this work will guide work towards reducing latency in practical mobile audio retrieval applications