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- W2954709447 abstract "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 (<=4s) of urban sounds from 10 classes." @default.
- W2954709447 created "2019-07-12" @default.
- W2954709447 creator A5012107227 @default.
- W2954709447 date "2019-06-01" @default.
- W2954709447 modified "2023-09-24" @default.
- W2954709447 title "Urban Sounds Classification using Deep Learning" @default.
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