Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SEMOUR: A Scripted Emotional Speech Repository for Urdu   Designing reliable Speech Emotion Recognition systems is a complex task that
inevitably requires sufficient data for training purposes. Such extensive
datasets are currently available in only a few languages, including English,
German, and Italian. In this paper, we present SEMOUR, the first scripted
database of emotion-tagged speech in the Urdu language, to design an Urdu
Speech Recognition System. Our gender-balanced dataset contains 15,040 unique
instances recorded by eight professional actors eliciting a syntactically
complex script. The dataset is phonetically balanced, and reliably exhibits a
varied set of emotions as marked by the high agreement scores among human
raters in experiments. We also provide various baseline speech emotion
prediction scores on the database, which could be used for various applications
like personalized robot assistants, diagnosis of psychological disorders, and
getting feedback from a low-tech-enabled population, etc. On a random test
sample, our model correctly predicts an emotion with a state-of-the-art 92%
accuracy.

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The categories of this paper are: quant-ph
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The categories of this paper are: adap-org
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The categories of this paper are: comp-gas
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The categories of this paper are: nucl-th
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The categories of this paper are: hep-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: solv-int
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The categories of this paper are: atom-ph
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The categories of this paper are: q-bio
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The categories of this paper are: nucl-ex
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The categories of this paper are: nlin
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The categories of this paper are: ao-sci
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The categories of this paper are: plasm-ph
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The categories of this paper are: math
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The categories of this paper are: stat
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The categories of this paper are: econ