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Titre: DAVID: An open-source platform for real-time transformation of infra-segmental emotional cues in running speech

Annee: 2017

typeOuvrage: article


Resume_editeur: Abstract We present an open-source software platform that transforms emotional cues expressed by speech signals using audio effects like pitch shifting, inflection, vibrato, and filtering. The emotional transformations can be applied to any audio file, but can also run in real time, using live input from a microphone, with less than 20-ms latency. We anticipate that this tool will be useful for the study of emo- tions in psychology and neuroscience, because it enables a high level of control over the acoustical and emotional con- tent of experimental stimuli in a variety of laboratory situa- tions, including real-time social situations. We present here results of a series of validation experiments aiming to posi- tion the tool against several methodological requirements: that transformed emotions be recognized at above-chance levels, valid in several languages (French, English, Swedish, and Japanese) and with a naturalness comparable to natural speech

commentaire: Behavior Research Methods, Psychonomic Society, Inc, 2017

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