Fast Parallel Algorithm for audio content retrieval on GPUs.

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dc.contributor.authorSanabria, Adriana
dc.contributor.authorVitola Oyaga, Jaime
dc.contributor.authorPedraza Bonilla, Cesar
dc.date.accessioned2020-02-19T11:56:50Z
dc.date.available2020-02-19T11:56:50Z
dc.date.issued2011-06-30
dc.description.abstractThe 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.spa
dc.description.domainhttp://unidadinvestigacion.usta.edu.cospa
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/COLOMCC.2011.5936339spa
dc.identifier.urihttp://hdl.handle.net/11634/21782
dc.publisher.branchCRAI-USTA Bogotáspa
dc.relation.referencesCarlo Bellettini and Gianluca Mazzini. A Framework for Robust Audio Fingerprinting. Journal of Communications, 5(5):409–424, 2010.spa
dc.relation.referencesP Cano, E Batlle, T Kalker, and J Haibma. A Review Algorithms Audio Fingerprinting. In IEEE International workshop on MMSP, volume pp, pages 169–173, 2002.spa
dc.relation.referencesP Cano, E Batlle, H Mayer, and H Neuschmied. Robust sound modeling for song detection in broadcast audio. In Proceedings of the 112th AES Convention, volume pp, pages 1–7, 2002.spa
dc.relation.referencesNVIDIA Corporation. NVIDIA CUDA Programming guide., 2009.spa
dc.relation.referencesM Frigo and SG Johnson. FFTW: An adaptive software architecture for the FFT. Conference on Acoustics Speech and Signal, 1998.spa
dc.relation.referencesFoster Ian. Designing and building parallel programs. Addison Wesley, 1995.spa
dc.relation.referencesD Luebke, M Harris, and N Govindaraju. GPGPU: general-purpose computation on graphics hardware. In Proceedings of the 2006 ACM/IEEE conference on Supercomputing, page 208. ACM, 2006.spa
dc.relation.referencesM Sert, B Baykal, and A Yazıcı. A Robust and Time-Efficient Fingerprinting Model for Musical Audio. Audio, 2006.spa
dc.relation.referencesL Shen, Y Guan, Y Wu, and Y Zhao. Fast audio fingerprint search strategy for song identification. Networking and Digital Society, International Conference, pages 259–262, 2009.spa
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/co/
dc.subject.keywordParallel Algorithmspa
dc.subject.keywordAudiospa
dc.subject.keywordGPUspa
dc.titleFast Parallel Algorithm for audio content retrieval on GPUs.spa
dc.type.categoryGeneración de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicosspa

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