pariajm/sharif_emotional_speech_dataset
Sharif Emotional Speech Dataset (ShEMO) Dataset Summary The dataset 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 anger, fear, happiness, sadness and surprise, as well as neutral state. Twelve annotators label the underlying emotional state of utterances and majority voting is used… See the full description on the dataset page: https://huggingface.co/datasets/pariajm/sharif_emotional_speech_dataset.
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