Fast Parallel Algorithm for audio content retrieval on GPUs.
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Abstract
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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Atribución-NoComercial-CompartirIgual 2.5 Colombia