Please use this identifier to cite or link to this item:
|Title:||Using Smartphones to Classify Urban Sounds|
|Authors:||Elsa Ferreira Gomes|
|Abstract:||The 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.|
|Appears in Collections:||LIAAD - Articles in International Conferences|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.