Emotional speech: towards a new generation of databases
Speech Communication - Special issue on speech and emotion
Sociable machines: expressive social exchange between humans and robots
Sociable machines: expressive social exchange between humans and robots
Expressive gibberish speech synthesis for affective human-computer interaction
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
How to use non-linguistic utterances to convey emotion in child-robot interaction
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Situational context directs how people affectively interpret robotic non-linguistic utterances
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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Gibberish speech consists of vocalizations of meaningless strings of speech sounds. It is sometimes used by performing artists or by cartoon animations (e.g.: Teletubbies) to express intended emotions, without pronouncing any actually understandable word. The facts that no understandable text has to be pronounced and that only affect is conveyed create the advantage of gibberish in affective computing. In our study, we intend to experiment the communication between a robot and hospitalized children using affective gibberish. In this study, a new emotional database consisting of 4 distinct corpuses has been recorded for the purpose of affective child-robot interaction. The database comprises speech recordings of one actress simulating a neutral state and the big six emotions: anger, disgust, fear, happiness, sadness and surprise. The database has been evaluated through a perceptual test for all subsets of the database by adults and one subset of the database with children, achieving recognition scores up to 81%.