ShEMO

Sharif Emotional Speech Database

Dataset Information
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Overview

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 surprise, as well as neutral state.

Source: ShEMO -- A Large-Scale Validated Database for Persian Speech Emotion Detection

Variants: ShEMO

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Speech Emotion Recognition CNN (1D) Emotion Recognition In Persian Speech … 2022-04-28

Research Papers

Recent papers with results on this dataset: