Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: What does a network layer hear? Analyzing hidden representations of
  end-to-end ASR through speech synthesis   End-to-end speech recognition systems have achieved competitive results
compared to traditional systems. However, the complex transformations involved
between layers given highly variable acoustic signals are hard to analyze. In
this paper, we present our ASR probing model, which synthesizes speech from
hidden representations of end-to-end ASR to examine the information maintain
after each layer calculation. Listening to the synthesized speech, we observe
gradual removal of speaker variability and noise as the layer goes deeper,
which aligns with the previous studies on how deep network functions in speech
recognition. This paper is the first study analyzing the end-to-end speech
recognition model by demonstrating what each layer hears. Speaker verification
and speech enhancement measurements on synthesized speech are also conducted to
confirm our observation further.

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The categories of this paper are: adap-org
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The categories of this paper are: atom-ph
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The categories of this paper are: funct-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: math
3
The categories of this paper are: physics
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The categories of this paper are: dg-ga
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The categories of this paper are: nlin
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The categories of this paper are: astro-ph
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The categories of this paper are: supr-con
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The categories of this paper are: ao-sci
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The categories of this paper are: bayes-an
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The categories of this paper are: stat
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The categories of this paper are: hep-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-th