End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network (2019-04-18T00:00:00.000000Z)

TL;DR

An end-to-end approach for environmental sound classification based on a 1D Convolution Neural Network that learns a representation directly from the audio signal that outperforms most of the state-of-the-art approaches that use handcrafted features or 2D representations as input.

Authors

Alessandro Lameiras Koerich

2 papers

P. Cardinal

2 papers

Sajjad Abdoli

1 papers

TL;DR

Authors

References54 items

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