Fast parallel algorithm for audio content retrieval on GPUs
Electronic Engineering, Department Santo Tomas University, Bogota, Colombia
6th Colombian Computing Congress (CCC), 2011
@inproceedings{sanabria2011fast,
title={Fast parallel algorithm for audio content retrieval on GPUs},
author={Sanabria, A. and Oyaga, J.V. and Bonilla, C.P.},
booktitle={Computing Congress (CCC), 2011 6th Colombian},
pages={1–4},
organization={IEEE},
year={2011}
}
The search techniques audio content MIR (music information retrieval) face two major challenges: the robustness of the algorithm and the speed of this operation. In this article proposes a model of fast algorithm for the extraction of audio data by the fingerprinting technique, which is implemented on a CPU-based platform and then parallelized to run on a graphics hardware (GPU). Tests on GPU determined a success rate close to 100% and response times approximately 2 times lower than those obtained with a PC workstation, allowing searches of up to 65 commercial in real-time.
July 14, 2011 by hgpu
