NMF-Based Spectral Analysis for Acoustic Event Classification Tasks

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dc.contributor.authorLudeña Choez, Jimmy Diestin
dc.contributor.authorGallardo Antolín, Ascensión
dc.date.accessioned2019-01-29T22:19:55Z
dc.date.available2019-01-29T22:19:55Z
dc.date.issued2013
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. © 2013 Springer-Verlag Berlin Heidelberg.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1007/978-3-642-38847-7es_PE
dc.identifier.isbnurn:isbn:9783642388460es_PE
dc.identifier.issn3029743es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15874
dc.language.isoenges_PE
dc.publisherScopuses_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84888260920&doi=10.1007%2f978-3-642-38847-7&partnerID=40&md5=1fa8fce71470f63d58018fb0b2a9f76des_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectAcoustic Event Classificationes_PE
dc.subjectAuditory filterbankes_PE
dc.subjectClassification rateses_PE
dc.subjectDifferent frequencyes_PE
dc.subjectHigh-pass filteringes_PE
dc.subjectMel frequency cepstrum coefficientses_PE
dc.subjectNonnegative matrix factorizationes_PE
dc.subjectSpectral magnitudeses_PE
dc.subjectSpectrum analysises_PE
dc.subjectSpeech processinges_PE
dc.subjectSpeech recognitiones_PE
dc.subjectFactorizationes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.01es_PE
dc.titleNMF-Based Spectral Analysis for Acoustic Event Classification Taskses_PE
dc.typeinfo:eu-repo/semantics/article
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