Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/4310
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dc.contributor.authorElsa Ferreira Gomesen
dc.contributor.authorBatista,Fen
dc.contributor.authorAlípio Jorgeen
dc.date.accessioned2017-12-19T19:02:54Z-
dc.date.available2017-12-19T19:02:54Z-
dc.date.issued2016en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/4310-
dc.identifier.urihttp://dx.doi.org/10.1145/2948992.2949002en
dc.description.abstractThe aim of this work is to develop an application for Android able to classifying urban sounds in a real life context. It also enables the collection and classification of new sounds. To train our classifier we use the UrbanSound8K data set available online. We have used a hybrid approach to obtain features, by combining SAX-based multiresolution motif discovery with Mel-Frequency Cepstral Coefficients (MFCC). We also describe different configurations of motif discovery for defining attributes and compare the use of Random Forest and SVM algorithms on this kind of data. Copyright 2016 ACM.en
dc.languageengen
dc.relation4981en
dc.relation6898en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleUsing Smartphones to Classify Urban Soundsen
dc.typeconferenceObjecten
dc.typePublicationen
Appears in Collections:LIAAD - Indexed Articles in Conferences

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