![]() ![]() An emotion speech synthesizer could solve such a communication problem. For example, a simple text dictation that doesn ’t reveal any emotion, it does not covey adequately the semantics of the text. Topics: Interfaces (Emotions and personality), Situation Awareness Applications (Training).Įmotion is an important factor in communication. ![]() Keywords: Speech Recognition, Speech Databases, Emotion Recognition. Third, the most common emotions searched for in decreasing frequency of appearance are anger, sadness, happiness, fear, disgust, joy, surprise, and boredom. Second, natural emotions cannot be easily classified as simulated ones (i.e., acting) can be. The conclusion of this study is that automated emotion recognition cannot achieve a correct classification that exceeds 50% for the four basic emotions, i.e., twice as much as random selection. A basic description of each database and its applications is provided. Each database consists of a corpus of human speech pronounced under different emotional conditions. Thirty-two emotional speech databases are reviewed. ![]() A Review of Emotional Speech Databases Dimitrios Ververidis and Constantine Kotropoulos Artificial Intelligence & Information Analysis Laboratory, Department of Informatics Aristotle University of Thessaloniki, Box 451, Thessaloniki 541 24, Greece. ![]()
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