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README.md
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The database includes 3000 semi-natural utterances, equivalent to 3 hours and 25 minutes of speech data extracted from online Persian radio plays. The ShEMO covers speech samples of 87 native-Persian speakers for five basic emotions including <i>anger</i>, <i>fear</i>, <i>happiness</i>, <i>sadness</i> and <i>surprise</i>, as well as neutral state. Twelve annotators label the underlying emotional state of utterances and majority voting is used to decide on the final labels. According to the kappa measure,
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the inter-annotator agreement is 64% which is interpreted as "substantial agreement".
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---
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annotations_creators:
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- expert-generated
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language_creators:
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- expert-generated
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languages:
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- fa
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licenses:
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- apache-2.0
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multilinguality:
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- monolingual
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pretty_name: Sharif Emotional Speech Database (ShEMO)
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size_categories:
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- 1K<n<10K
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source_datasets:
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- original
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task_categories:
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- automatic-speech-recognition
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task_ids:
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- speech-recognition
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---
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## Sharif Emotional Speech Database (ShEMO)
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## Dataset Summary
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The database includes 3000 semi-natural utterances, equivalent to 3 hours and 25 minutes of speech data extracted from online Persian radio plays. The ShEMO covers speech samples of 87 native-Persian speakers for five basic emotions including <i>anger</i>, <i>fear</i>, <i>happiness</i>, <i>sadness</i> and <i>surprise</i>, as well as neutral state. Twelve annotators label the underlying emotional state of utterances and majority voting is used to decide on the final labels. According to the kappa measure,
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the inter-annotator agreement is 64% which is interpreted as "substantial agreement".
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