ShEMO (Sharif Emotional Speech Database)

Introduced by Nezami et al. in ShEMO -- A Large-Scale Validated Database for Persian Speech Emotion Detection

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

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