| Vocal features of conversational sarcasm: a comparison of methods. | |
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MedLine Citation:
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PMID: 17273931 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This study investigated vocal cues that differentiate sarcastic utterances from non-sarcastic utterances. Utterances were drawn from videotapes of participant interviews and arranged on a master tape for analysis. Utterances that were identified as sarcastic by speakers and recognized as sarcastic by listeners were randomly arranged with utterances identified and recognized as non-sarcastic by the same participants. Both sarcastic and non-sarcastic utterances were analyzed by two methods-acoustic analysis and perceptual coding. The acoustic analysis proved slightly more successful than the perceptual coding in discriminating between sarcastic and non-sarcastic utterances. The acoustic analysis indicated that fundamental frequency, frequency range, length of utterance, and total amount of sound significantly discriminated sarcastic from non-sarcastic utterances. The perceptual coding method revealed that pitch range, length of utterance, and total amount of sound significantly discriminated sarcastic from non-sarcastic utterances. Moderate correlations were found between the acoustic and perceptual variables. |
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Authors:
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Patricia Rockwell |
Publication Detail:
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Type: Comparative Study; Journal Article |
Journal Detail:
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Title: Journal of psycholinguistic research Volume: 36 ISSN: 0090-6905 ISO Abbreviation: J Psycholinguist Res Publication Date: 2007 Sep |
Date Detail:
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Created Date: 2007-07-26 Completed Date: 2007-10-29 Revised Date: 2007-11-30 |
Medline Journal Info:
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Nlm Unique ID: 0333506 Medline TA: J Psycholinguist Res Country: United States |
Other Details:
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Languages: eng Pagination: 361-9 Citation Subset: IM |
Affiliation:
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Department of Communication, University of Louisiana at Lafayette, Lafayette, LA 70504, USA. par2323@louisiana.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adolescent Adult Cues Emotions* Female Humans Male Middle Aged Signal Processing, Computer-Assisted Software Sound Spectrography* Speech Acoustics* Speech Perception Statistics as Topic Verbal Behavior* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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