Fast parallel audio fingerprinting implementation in reconfigurable hardware and GPUs

Abstract

One of the main challenges that Music Information Retrieval (MIR) faces is performance. This paper presents an algorithm based on fingerprinting techniques implemented in a low-cost embedded reconfigurable platform. This fast algorithm is even faster when implemented in parallel for a GPU platform. The hit rate of the implementations is practically 100% and the response time is two times faster than the response time of a top class PC, which means MIR times of up to 65 audio tracks in real time.