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NMF-Based Spectral Analysis for Acoustic Event Classification Tasks

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Procesado Multimediaes
dc.contributor.authorGallardo Antolín, Ascensiónes
dc.contributor.authorLudeña Choez, Jimmy D.
dc.date.accessioned2015-09-07T10:39:08Z
dc.date.available2015-09-07T10:39:08Z
dc.date.issued2013
dc.descriptionProceedings of: 6th International Conference The Non-Linear Speech Processing (NOLISP 2013). Mons, Belgium, June 19-21, 2013.en
dc.description.abstractIn this paper, we propose a new front-end for Acoustic Event Classification tasks (AEC). First, we study the spectral contents of different acoustic events by applying Non-Negative Matrix Factorization (NMF) on their spectral magnitude and compare them with the structure of speech spectra. Second, from the findings of this study, we propose a new parameterization for AEC, which is an extension of the conventional Mel Frequency Cepstrum Coefficients (MFCC) and is based on the high pass filtering of acoustic event spectra. Also, the influence of different frequency scales on the classification rate of the whole system is studied. The evaluation of the proposed features for AEC shows that relative error reductions about 12% at segment level and about 11% at target event level with respect to the conventional MFCC are achieved.en
dc.description.sponsorshipThis work has been partially supported by the Spanish Government grants TSI-020110-2009-103, IPT-120000-2010-24 and TEC2011-26807. Financial support from the Fundaci´on Carolina and Universidad Católica San Pablo, Arequipa.en
dc.description.statusPublicadoes
dc.format.extent8
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationDrugman, T. & Dutoit, T. (2013). Advances in Nonlinear Speech Processing: 6th International Conference, NOLISP 2013, Mons, Belgium, June 19-21, 2013. Proceedings. (pp. 9-11). (Lecture Notes in Computer Science; 7911). Springer Berlin Heidelberg.en
dc.identifier.doi10.1007/978-3-642-38847-7_2
dc.identifier.isbn978-3-642-38846-0 (print)
dc.identifier.isbn978-3-642-38847-7 (online)
dc.identifier.issn0302-9743 (print)
dc.identifier.issn1611-3349 (online)
dc.identifier.publicationfirstpage9
dc.identifier.publicationlastpage16
dc.identifier.publicationtitleAdvances in Nonlinear Speech Processing : 6th International Conference The Non-Linear Speech Processing (NOLISP 2013), Mons, Belgium, June 19-21, 2013. Proceedingsen
dc.identifier.urihttps://hdl.handle.net/10016/21529
dc.identifier.uxxiCC/0000022172
dc.language.isoengen
dc.publisherSpringeren
dc.relation.eventdateJune 19-21, 2013.en
dc.relation.eventnumber6
dc.relation.eventplaceMons, Belgiumen
dc.relation.eventtitle6th International Conference The Non-Linear Speech Processing (NOLISP 2013)en
dc.relation.ispartofseriesLecture Notes in Computer Scienceen
dc.relation.ispartofseries7911
dc.relation.projectIDGobierno de España. TEC2011–26807es
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-642-38847-7_2
dc.rights© 2013 Springer-Verlag Berlin Heidelbergen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherAcoustic Event Classificationen
dc.subject.otherNon-Negative Matrix Factorizationen
dc.subject.otherAuditory Filterbanken
dc.titleNMF-Based Spectral Analysis for Acoustic Event Classification Tasksen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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