Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cross Lingual Cross Corpus Speech Emotion Recognition   The majority of existing speech emotion recognition models are trained and
evaluated on a single corpus and a single language setting. These systems do
not perform as well when applied in a cross-corpus and cross-language scenario.
This paper presents results for speech emotion recognition for 4 languages in
both single corpus and cross corpus setting. Additionally, since multi-task
learning (MTL) with gender, naturalness and arousal as auxiliary tasks has
shown to enhance the generalisation capabilities of the emotion models, this
paper introduces language ID as another auxiliary task in MTL framework to
explore the role of spoken language on emotion recognition which has not been
studied yet.

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The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
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The categories of this paper are: dg-ga
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The categories of this paper are: acc-phys
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The categories of this paper are: quant-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: atom-ph
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The categories of this paper are: supr-con
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The categories of this paper are: alg-geom
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The categories of this paper are: plasm-ph
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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: hep-lat
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The categories of this paper are: cmp-lg
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The categories of this paper are: gr-qc
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The categories of this paper are: funct-an