Polyphonic Sound Event Detection by Using Capsule Neural Networks

IEEE Journal of Selected Topics in Signal Processing(2019)

引用 47|浏览51
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摘要
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 kn...
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关键词
Feature extraction,Neural networks,Task analysis,Acoustics,Event detection,Computer architecture,Signal processing algorithms
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