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• W2735400762 abstract "Thirty-two emotional speech databases are reviewed. Each database consists of a corpus of human speech pronounced under different emotional conditions. A basic description of each database and its applications is provided. The conclusion of this study is that automated emotion recognition on these databases cannot achieve a correct classification that exceeds 50% for the four basic emotions, i.e., twice as much as random selection. Second, natural emotions cannot be easily classified as simulated ones (i.e., acting) can be. Third, the most common emotions searched for in decreasing frequency of appearance are anger, sadness, happiness, fear, disgust, joy, surprise, and boredom." @default.
• W2735400762 created "2017-07-21" @default.
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• W2735400762 date "2003-01-01" @default.
• W2735400762 modified "2023-09-27" @default.
• W2735400762 title "A State of the Art Review on Emotional Speech Databases" @default.
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