Using Convolutional Autoencoders to Improve Classification Performance
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2015-07-13
Language
en
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Abstract
This thesis combines convolutional neural networks with autoencoders, to form a convolutional autoencoder. Several techniques related to the realisation of a convolutional autoencoder are investigated,
and an attempt is made to use these models to improve performance on an audio-based phone classification task.
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Faculteit der Sociale Wetenschappen