ShEMO: a large-scale validated database for Persian speech emotion detection.

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 h and 25 min of speech data extracted from online radio plays. The ShEMO covers speech samples of 87 native-Persian...

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Detalles Bibliográficos

Publicado en:	Language Resources & Evaluation Vol. 53; no. 1; pp. 1 - 17
Autores principales:	Mohamad Nezami, Omid, Jamshid Lou, Paria, Karami, Mansoureh
Formato:	Artículo
Publicado:	Springer Nature Mar2019
Materias:	Databases Speech Emotions Data extraction Internet radio
Acceso en línea:	Ver este registro en EBSCOhost