ShEMO: a large-scale validated database for Persian speech emotion detection
ShEMO: a large-scale validated database for Persian speech emotion detection is a scholarly work, published in 2018 in ''Language Resources and Evaluation''. The main subjects of the publication include happiness, sentiment analysis, surprise, natural language processing, artificial intelligence, emotion classification, sadness, Speech enhancement, support vector machine, anger, emotion recognition, speech recognition, benchmark, Persian, and computer science. The paper introduces a large-scale, validated database for Persian called Sharif Emotional Speech Database (ShEMO).