Datasets:
Tasks:
Audio Classification
Modalities:
Audio
Formats:
soundfolder
Languages:
Urdu
Size:
< 1K
ArXiv:
License:
Update README.md
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README.md
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license: mit
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---
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license: mit
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language:
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- ur
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size_categories:
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- n<1K
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# URDU-Dataset
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## 1. General information
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URDU dataset contains emotional utterances of Urdu speech gathered from Urdu talk shows. It contains 400 utterances of four basic emotions: Angry, Happy, Neutral, and Emotion. There are 38 speakers (27 male and 11 female). This data is created from YouTube. Speakers are selected randomly.
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The similar version of dataset is uploaded to DagsHub: URDU-Dataset, enabling you to preview the dataset before downloading it.
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## 2. Structure
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Nomenclature followed while naming the files in the dataset is to provide information about the speaker, gender, number of the file for that speaker and overall numbering of the file in particular emotion. Files are named as follows:
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General Name: SGX_FXX_EYY
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For more details about dataset, please refer the complete paper "Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages". https://arxiv.org/pdf/1812.10411.pdf
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## 2.1 Audio files:
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[21M] Angry - of approximately 242 seconds of "clean" speech in .wav format (pushed to DagsHub)
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[21M] Happy - of approximately 244 seconds of "clean" speech .wav format (pushed to DagsHub)
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[21M] Neutral - of approximately 244 seconds of "clean" speech .wav format (pushed to DagsHub)
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[21M] Sad - of approximately 244 seconds of "clean" speech .wav format (pushed to DagsHub)
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## 2.2 Organization of the Emotions dataset
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The dataset is small (88MB) and simple to navigate as it has 4 folders based on emotions. Each folder contains 100 .wav audio files containing the emotions of Urdu speakers. The audio file range from 2~3 second of audio taken from a various video uploaded on YouTube. The following ASCII diagram depicts the directory structure.
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