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

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 m...

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Veröffentlicht in:	Behavior research methods Jg. 50; H. 1; S. 323 - 343
Hauptverfasser:	Rachman, Laura, Liuni, Marco, Arias, Pablo, Lind, Andreas, Johansson, Petter, Hall, Lars, Richardson, Daniel, Watanabe, Katsumi, Dubal, Stéphanie, Aucouturier, Jean-Julien
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2018 Springer Nature B.V Psychonomic Society, Inc
Schlagworte:	Behavioral Science and Psychology Cognitive Psychology Cognitive science Comparative Language Studies and Linguistics Computer and Information Sciences Computer Science Computer Simulation Cues Data- och informationsvetenskap (Datateknik) Emotions Experiments Female Frequency Human Computer Interaction Humaniora och konst Humanities and the Arts Humans Interpersonal Relations Intonation Jämförande språkvetenskap och allmän lingvistik Language Languages Languages and Literature Latency Male Människa-datorinteraktion (Interaktionsdesign) Natural Sciences Naturalness Naturvetenskap Nervous system Nonverbal Communication - psychology Pitch Psychology Real time Social situations Software Sound Speech Speech Perception Språk och litteratur Transformation Verbal Behavior Emotional transformations Infra-segmental cues Software Voice Real-time Nonverbal behavior
ISSN:	1554-3528, 1554-351X, 1554-3528
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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 emotions in psychology and neuroscience, because it enables a high level of control over the acoustical and emotional content of experimental stimuli in a variety of laboratory situations, including real-time social situations. We present here results of a series of validation experiments aiming to position 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.
AbstractList	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 emotions in psychology and neuroscience, because it enables a high level of control over the acoustical and emotional content of experimental stimuli in a variety of laboratory situations, including real-time social situations. We present here results of a series of validation experiments aiming to position 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.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 emotions in psychology and neuroscience, because it enables a high level of control over the acoustical and emotional content of experimental stimuli in a variety of laboratory situations, including real-time social situations. We present here results of a series of validation experiments aiming to position 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. 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 emotions in psychology and neuroscience, because it enables a high level of control over the acoustical and emotional content of experimental stimuli in a variety of laboratory situations, including real-time social situations. We present here results of a series of validation experiments aiming to position 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.
Author	Hall, Lars Lind, Andreas Liuni, Marco Johansson, Petter Dubal, Stéphanie Aucouturier, Jean-Julien Watanabe, Katsumi Richardson, Daniel Rachman, Laura Arias, Pablo
Author_xml	– sequence: 1 givenname: Laura surname: Rachman fullname: Rachman, Laura email: rachman.laura@gmail.com organization: Science & Technology of Music and Sound (STMS), UMR 9912 (CNRS/IRCAM/UPMC), Inserm U 1127, CNRS UMR 7225, Sorbonne Universités UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière (ICM), Social and Affective Neuroscience (SAN) Laboratory – sequence: 2 givenname: Marco surname: Liuni fullname: Liuni, Marco organization: Science & Technology of Music and Sound (STMS), UMR 9912 (CNRS/IRCAM/UPMC) – sequence: 3 givenname: Pablo surname: Arias fullname: Arias, Pablo organization: Science & Technology of Music and Sound (STMS), UMR 9912 (CNRS/IRCAM/UPMC) – sequence: 4 givenname: Andreas surname: Lind fullname: Lind, Andreas organization: Lund University Cognitive Science, Lund University – sequence: 5 givenname: Petter surname: Johansson fullname: Johansson, Petter organization: Lund University Cognitive Science, Lund University, Swedish Collegium for Advanced Study – sequence: 6 givenname: Lars surname: Hall fullname: Hall, Lars organization: Lund University Cognitive Science, Lund University – sequence: 7 givenname: Daniel surname: Richardson fullname: Richardson, Daniel organization: Department of Experimental Psychology, University College London – sequence: 8 givenname: Katsumi surname: Watanabe fullname: Watanabe, Katsumi organization: Department of Intermedia Art and Science, Faculty of Science and Engineering, Waseda University, Research Center for Advanced Science and Technology, The University of Tokyo – sequence: 9 givenname: Stéphanie surname: Dubal fullname: Dubal, Stéphanie organization: Inserm U 1127, CNRS UMR 7225, Sorbonne Universités UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière (ICM), Social and Affective Neuroscience (SAN) Laboratory – sequence: 10 givenname: Jean-Julien surname: Aucouturier fullname: Aucouturier, Jean-Julien organization: Science & Technology of Music and Sound (STMS), UMR 9912 (CNRS/IRCAM/UPMC)
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Keywords	Emotional transformations Infra-segmental cues Software Voice Real-time Nonverbal behavior
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SubjectTerms	Behavioral Science and Psychology Cognitive Psychology Cognitive science Comparative Language Studies and Linguistics Computer and Information Sciences Computer Science Computer Simulation Cues Data- och informationsvetenskap (Datateknik) Emotions Experiments Female Frequency Human Computer Interaction Humaniora och konst Humanities and the Arts Humans Interpersonal Relations Intonation Jämförande språkvetenskap och allmän lingvistik Language Languages Languages and Literature Latency Male Människa-datorinteraktion (Interaktionsdesign) Natural Sciences Naturalness Naturvetenskap Nervous system Nonverbal Communication - psychology Pitch Psychology Real time Social situations Software Sound Speech Speech Perception Språk och litteratur Transformation Verbal Behavior
Title	DAVID: An open-source platform for real-time transformation of infra-segmental emotional cues in running speech
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