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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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Published in:Language Resources & Evaluation Vol. 53; no. 1; pp. 1 - 17
Main Authors: Mohamad Nezami, Omid, Jamshid Lou, Paria, Karami, Mansoureh
Format: Article
Published: Springer Nature Mar2019
Subjects:
Databases
Speech
Emotions
Data extraction
Internet radio
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