Using Smartphones to Classify Urban Sounds

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

Gomes, EF (Autor) Outra; Batista, F (Autor) Outra; Jorge, AM (Autor) FCUP

Ata de Conferência Internacional

Título: ACM International Conference Proceeding Series

Páginas: 67-72

9th International C* Conference on Computer Science and Software Engineering, C3S2E 2016

20 July 2016 through 22 July 2016

Indexação

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00K-S95

DOI: 10.1145/2948992.2949002

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica