Fast parallel audio fingerprinting implementation in reconfigurable hardware and gpus

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dc.contributor.authorMartínez, Jose Ignacio
dc.contributor.authorVitola, Jaime
dc.contributor.authorSanabria, Adriana
dc.contributor.authorPedraza, Cesar
dc.date.accessioned2020-01-22T17:55:07Z
dc.date.available2020-01-22T17:55:07Z
dc.date.issued2011-05-31
dc.description.abstractOne of the main challenges that Music Information Retrieval (MIR) faces is performance. This paper presents an algorithm based on fingerprinting techniques implemented in a low-cost embedded reconfigurable platform. This fast algorithm is even faster when implemented in parallel for a GPU platform. The hit rate of the implementations is practically 100 % and the response time is two times faster than the response time of a top class PC, which means MIR times of up to 65 audio tracks in real time.spa
dc.description.domainhttp://unidadinvestigacion.usta.edu.cospa
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/SPL.2011.5782656spa
dc.identifier.urihttp://hdl.handle.net/11634/21037
dc.publisher.branchCRAI-USTA Bogotáspa
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dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/co/
dc.subject.keywordFingerprinting implementationspa
dc.subject.keywordReconfigurable hardwarespa
dc.subject.keywordGpusspa
dc.titleFast parallel audio fingerprinting implementation in reconfigurable hardware and gpusspa
dc.type.categoryGeneración de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicosspa

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