Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Novel Fusion of Attention and Sequence to Sequence Autoencoders to
  Predict Sleepiness From Speech   Motivated by the attention mechanism of the human visual system and recent
developments in the field of machine translation, we introduce our
attention-based and recurrent sequence to sequence autoencoders for fully
unsupervised representation learning from audio files. In particular, we test
the efficacy of our novel approach on the task of speech-based sleepiness
recognition. We evaluate the learnt representations from both autoencoders, and
then conduct an early fusion to ascertain possible complementarity between
them. In our frameworks, we first extract Mel-spectrograms from raw audio
files. Second, we train recurrent autoencoders on these spectrograms which are
considered as time-dependent frequency vectors. Afterwards, we extract the
activations of specific fully connected layers of the autoencoders which
represent the learnt features of spectrograms for the corresponding audio
instances. Finally, we train support vector regressors on these representations
to obtain the predictions. On the development partition of the data, we achieve
Spearman's correlation coefficients of .324, .283, and .320 with the targets on
the Karolinska Sleepiness Scale by utilising attention and non-attention
autoencoders, and the fusion of both autoencoders' representations,
respectively. In the same order, we achieve .311, .359, and .367 Spearman's
correlation coefficients on the test data, indicating the suitability of our
proposed fusion strategy.

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The categories of this paper are: q-fin
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The categories of this paper are: nlin
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The categories of this paper are: atom-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: physics
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-lat
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The categories of this paper are: chem-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-ph
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The categories of this paper are: adap-org