Mansooreh/sharif-emotional-speech-dataset

ShEMO: a large-scale validated database for Persian speech emotion detection Abstract This paper introduces a large-scale, validated database for Persian called Sharif Emotional Speech Database (ShEMO). The database includes 3000 semi-natural utterances, equivalent to 3 hours and 25 minutes of speech data extracted from online radio plays. The ShEMO covers speech samples of 87 native-Persian speakers for five basic emotions including anger, fear, happiness, sadness and… See the full description on the dataset page: https://huggingface.co/datasets/Mansooreh/sharif-emotional-speech-dataset.

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