Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Visually Grounded Sub-Word Speech Unit Discovery   In this paper, we investigate the manner in which interpretable sub-word
speech units emerge within a convolutional neural network model trained to
associate raw speech waveforms with semantically related natural image scenes.
We show how diphone boundaries can be superficially extracted from the
activation patterns of intermediate layers of the model, suggesting that the
model may be leveraging these events for the purpose of word recognition. We
present a series of experiments investigating the information encoded by these
events.

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The categories of this paper are: math-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-th
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The categories of this paper are: quant-ph
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The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-ex
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The categories of this paper are: cond-mat
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The categories of this paper are: patt-sol
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The categories of this paper are: plasm-ph
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The categories of this paper are: astro-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: stat
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The categories of this paper are: adap-org
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The categories of this paper are: q-bio