Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Siamese Capsule Network for End-to-End Speaker Recognition In The Wild   We propose an end-to-end deep model for speaker verification in the wild. Our
model uses thin-ResNet for extracting speaker embeddings from utterances and a
Siamese capsule network and dynamic routing as the Back-end to calculate a
similarity score between the embeddings. We conduct a series of experiments and
comparisons on our model to state-of-the-art solutions, showing that our model
outperforms all the other models using substantially less amount of training
data. We also perform additional experiments to study the impact of different
speaker embeddings on the Siamese capsule network. We show that the best
performance is achieved by using embeddings obtained directly from the feature
aggregation module of the Front-end and passing them to higher capsules using
dynamic routing.

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The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph