Reconstructing Images and Audio: Multi-modal autoencoders
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2020-07-01
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en
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Abstract
In this thesis, a multi-modal auto-encoder is built that reconstructs both images and
audio. The goal is to build a multi-modal auto-encoder that is capable of learning a
shared representation between images of digits and audio of the pronunciation of the
digits. This model, while fairly accurate on digits, does not perform very well on the
audio data.
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Faculteit der Sociale Wetenschappen