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Emotional Voice Messages (EMOVOME) database: emotion recognition in spontaneous voice messages
For speech, we used the standard eGeMAPS feature set and support vector machines, obtaining 49. 27% and 44. 71% unweighted accuracy for valence and arousal respectively.
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