DocumentCode :
1967948
Title :
Fast parallel algorithm for audio content retrieval on GPUs
Author :
Sanabria, Adriana ; Oyaga, Jaime Vitola ; Bonilla, César Pedraza
Author_Institution :
Electron. Eng. Dept., Santo Tomas Univ., Bogota, Colombia
fYear :
2011
fDate :
4-6 May 2011
Firstpage :
1
Lastpage :
4
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.
Keywords :
audio signal processing; computer graphic equipment; content-based retrieval; coprocessors; music; CPU-based platform; GPU; audio content retrieval; fast parallel algorithm; fingerprinting technique; graphics hardware; music information retrieval; search techniques audio content MIR; Algorithm design and analysis; Correlation; Databases; Graphics processing unit; Real time systems; Robustness; Software algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Congress (CCC), 2011 6th Colombian
Conference_Location :
Manizales
Print_ISBN :
978-1-4577-0285-3
Type :
conf
DOI :
10.1109/COLOMCC.2011.5936339
Filename :
5936339
Link To Document :
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