Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Breaking Speech Recognizers to Imagine Lyrics   We introduce a new method for generating text, and in particular song lyrics,
based on the speech-like acoustic qualities of a given audio file. We repurpose
a vocal source separation algorithm and an acoustic model trained to recognize
isolated speech, instead inputting instrumental music or environmental sounds.
Feeding the "mistakes" of the vocal separator into the recognizer, we obtain a
transcription of words \emph{imagined} to be spoken in the input audio. We
describe the key components of our approach, present initial analysis, and
discuss the potential of the method for machine-in-the-loop collaboration in
creative applications.

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The categories of this paper are: mtrl-th
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The categories of this paper are: math-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: eess
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The categories of this paper are: chem-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: gr-qc
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The categories of this paper are: q-bio
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The categories of this paper are: nlin
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The categories of this paper are: bayes-an
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The categories of this paper are: q-alg
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The categories of this paper are: physics
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The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
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The categories of this paper are: solv-int