Feature extraction based on the high-pass filtering of audio signals for Acoustic Event Classification

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dc.contributor.authorLudeña Choez, Jimmy
dc.contributor.authorGallardo Antolín, Ascensión
dc.date.accessioned2019-01-29T22:19:54Z
dc.date.available2019-01-29T22:19:54Z
dc.date.issued2015
dc.description.abstractIn this paper, we propose a new front-end for Acoustic Event Classification tasks (AEC). First, we study the spectral characteristics of different acoustic events in comparison 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 Cepstral Coefficients (MFCC) and is based on the high pass filtering of the acoustic event signal. The proposed front-end have been tested in clean and noisy conditions and compared to the conventional MFCC in an AEC task. Results support the fact that the high pass filtering of the audio signal is, in general terms, beneficial for the system, showing that the removal of frequencies below 100-275 Hz in the feature extraction process in clean conditions and below 400-500 Hz in noisy conditions, improves significantly the performance of the system with respect to the baseline. © 2014 Elsevier Ltd. All rights reserved.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1016/j.csl.2014.04.001es_PE
dc.identifier.issn8852308es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15857
dc.language.isoenges_PE
dc.publisherAcademic Presses_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84913604166&doi=10.1016%2fj.csl.2014.04.001&partnerID=40&md5=c7d94b25cdef4e49d30c8610a19ed580es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectAudio acousticses_PE
dc.subjectExtractiones_PE
dc.subjectFeature extractiones_PE
dc.subjectSpeech recognitiones_PE
dc.subjectAcoustic event classificationes_PE
dc.subjectAcoustic eventses_PE
dc.subjectAuditory filterbankes_PE
dc.subjectHigh-pass filteringes_PE
dc.subjectMel-frequency cepstral coefficientses_PE
dc.subjectNoisy conditionses_PE
dc.subjectSpectral characteristicses_PE
dc.subjectSpeech spectraes_PE
dc.subjectSignal processinges_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.01es_PE
dc.titleFeature extraction based on the high-pass filtering of audio signals for Acoustic Event Classificationes_PE
dc.typeinfo:eu-repo/semantics/article
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