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Fast parallel algorithm for audio content retrieval on GPUs

Adriana Sanabria, Jaime Vitola Oyaga, Cesar Pedraza Bonilla
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}

}

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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.
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