Urban Sounds Classification using Deep Learning

Urban Sounds Classification using Deep Learning

The automatic classification of environmental sounds is a growing research field with multiple applications to largescale, content-based multimedia indexing and retrieval. In particular, the sonic analysis of urban environments is the subject of increased interest. The goal of this project is to dev...

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Bibliographische Detailangaben
1. Verfasser: Bolet Boixeda, Marti
Format: Dissertation
Sprache:eng
Schlagworte:
Aprenentatge automàtic
CNN
Deep Learning
Enginyeria de la telecomunicació
Machine learning
Neural networks (Computer science)
SVM
Xarxes neuronals (Informàtica)
Àrees temàtiques de la UPC
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Beschreibung
Zusammenfassung:The automatic classification of environmental sounds is a growing research field with multiple applications to largescale, content-based multimedia indexing and retrieval. In particular, the sonic analysis of urban environments is the subject of increased interest. The goal of this project is to develop a machine learning approach, preferably using deep learning techniques to classify city sounds. The Urban Sound Classification database available at the Kaggle platform will be used. This dataset contains 8732 labeled sound excerpts (