2013
DOI: 10.1007/978-3-319-02714-2_17
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Real-Time Comprehensive Sociometrics for Two-Person Dialogs

Abstract: A real-time system is proposed to quantitatively assess speaking mannerisms and social behavior from audio recordings of two-person dialogs. Speaking mannerisms are quantitatively assessed by low-level speech metrics such as volume, rate, and pitch of speech. The social behavior is quantified by sociometrics including level of interest, agreement, and dominance. Such quantitative measures can be used to provide real-time feedback to the speakers, for instance, to alarm to speaker when the voice is too strong (… Show more

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Cited by 7 publications
(22 citation statements)
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“…We compute the following conversational cues natural turns, speaking percentage, mutual silence percentage, turn duration, natural interjections, speaking interjections, interruptions, failed interruptions, speaking rate and response time. Once the speech cues are calculated, they are fed to machine learning algorithms such as Support Vector Machines (SVMs) to deduce social state of participants [5]. Speaking mannerism are quantitatively assessed by low-level speech metrics such as volume, rate, and pitch of speech.…”
Section: Sociofeedback Systemmentioning
confidence: 99%
“…We compute the following conversational cues natural turns, speaking percentage, mutual silence percentage, turn duration, natural interjections, speaking interjections, interruptions, failed interruptions, speaking rate and response time. Once the speech cues are calculated, they are fed to machine learning algorithms such as Support Vector Machines (SVMs) to deduce social state of participants [5]. Speaking mannerism are quantitatively assessed by low-level speech metrics such as volume, rate, and pitch of speech.…”
Section: Sociofeedback Systemmentioning
confidence: 99%
“…In the second experiment we observed t hat the participants seemed to like receiving feedback from Nao robot and rated it very high on the Godspeed questionnaire. We also established that the sociofeed back system [ 41] can provide reliable feed back in real conversational scenarios with an overall accuracy of 93 .8%.…”
Section: Sociofeedback Via Nao Robotmentioning
confidence: 88%
“…In [41], we presented a novel approach towards comprehensive real-time analysis of speech mannerism and social behavior. We performed non-verbal speech analysis to analyze human behavior.…”
Section: Sociofeedback Via Nao Robotmentioning
confidence: 99%
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