Polyphonic Sound Event Detection by Using Capsule Neural Networks

Volume: 13, Issue: 2, Pages: 310 - 322
Published: May 1, 2019
Abstract
Artificial sound event detection (SED) aims to mimic the human ability to perceive and understand what is happening in the surroundings. Nowadays, deep learning offers valuable techniques for this goal, such as convolutional neural networks (CNNs). The capsule neural network (CapsNet) architecture has been recently introduced in the image processing field with the intent to overcome some of the known limitations of CNNs, specifically regarding...
Paper Details
Title
Polyphonic Sound Event Detection by Using Capsule Neural Networks
Published Date
May 1, 2019
Volume
13
Issue
2
Pages
310 - 322
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