Prosodic cues of sarcastic speech in French: slower, higher, wider

Lœvenbruck, Hélène; Jannet, Mohamed Ameur Ben; D’Imperio, Mariapaola; Spini, Mathilde; Champagne-Lavau, Maud

doi:10.21437/interspeech.2013-761

Cited by 15 publications

(11 citation statements)

References 21 publications

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“…Linear mixed-effects regression models with crossed random intercepts for speaker and sentence showed a significant effect of the condition on the speech rate (nonironic vs. ironic = 0.17, SE = 0.05, p < .001), but not on the pitch range (nonironic vs. ironic = 21.1, SE = 26.5, p = .43). Regarding the pitch range, previous studies have reported contradictory findings: while some studies found a larger pitch range in the ironic condition compared to the nonironic condition (e.g., Anolli et al, 2000; Lœvenbruck et al, 2013), other studies reported the opposite (e.g., Cheang & Pell, 2008; Niebuhr, 2014), or that the effect did not reach a significant level (Bryant & Fox Tree, 2005). Our results are in line with the last finding.…”

Section: Resultsmentioning

confidence: 90%

“…The acoustic analyses of the speech material focused on two features that several previous studies have shown to be relevant for the acoustics of irony: speech rate and pitch range (e.g., Anolli et al, 2000, 2002; Cheang & Pell, 2008, 2009; Lœvenbruck et al, 2013; Niebuhr, 2014; Rockwell, 2000). To calculate the speech rate, the number of syllables in the sentence (between 6 and 11) was divided by the duration of the spoken sentence as measured in seconds.…”

Section: Methodsmentioning

confidence: 99%

“…line with previous research (Anolli et al, 2000(Anolli et al, , 2002Loevenbruck et al, 2013;Scharrer & Christmann, 2011), we chose an induction procedure instead of an explicit request. That is, we did not ask participants to speak the sentences in a nonironic or an ironic tone of voice, as this might have resulted in an exaggerated and unnaturally dichotomous production strategy that could mask more subtle nuances.…”

Section: The Prosody Of Ironymentioning

confidence: 99%

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Ironic twists of sentence meaning can be signaled by forward move of prosodic stress.

Larrouy-Maestri¹,

Kegel²,

Schlotz³

et al. 2023

Journal of Experimental Psychology: General

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Prosodic stresses are known to affect the meaning of utterances, but exactly how they do this is not known in many cases. We focus on the mechanisms underlying the meaning effects of ironic prosody (e.g., teasing or blaming through an ironic twist), which is frequently used in both personal and mass-media communication. To investigate ironic twists, we created 30 sentences that can be interpreted both ironically and nonironically, depending on the context. In Experiment 1, 14 of these sentences were identified as being most reliably understood in the two conditions. In Experiment 2, we recorded the 14 sentences spoken in both a literal and an ironic condition by 14 speakers, and the resulting 392 recorded sentences were acoustically analyzed. In Experiment 3, 20 listeners marked the acoustically prominent words, thus identifying perceived prosodic stresses. In Experiment 4, 53 participants rated how ironic they perceived the 392 recorded sentences to be. The combined analysis of irony ratings, acoustic features, and various prosodic stress characteristics revealed that ironic meaning is primarily signaled by a stress shift from the end of a sentence to an earlier position. This change in position might function as a “warning” cue for listeners to consider potential alternative meanings of the sentence. Thus, beyond giving individual words a stronger contrastive or emphatic role, the distribution of prosodic stresses can also prime opposite meanings for identical sentences, supporting the view that the dynamic aspect of prosody conveys important cues in human communication.

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Section: Resultsmentioning

confidence: 90%

Section: Methodsmentioning

confidence: 99%

Section: The Prosody Of Ironymentioning

confidence: 99%

See 1 more Smart Citation

Ironic twists of sentence meaning can be signaled by forward move of prosodic stress.

Larrouy-Maestri¹,

Kegel²,

Schlotz³

et al. 2023

Journal of Experimental Psychology: General

View full text Add to dashboard Cite

show abstract

“…Indeed, research in various languages shows different results regarding the role of lexical markers and acoustic parameters. For example, Loevenbruck et al (2013) have analyzed the prosodic quality of irony in French and found both similarities and differences regarding the pitch level between French and English and German. A similar analysis was carried out for irony in Dutch by Jansen and Chen (2020).…”

Section: Bi-and Multilingualism and Verbal Irony Use And Comprehensionmentioning

confidence: 99%

Socio-cultural and individual factors in verbal irony use and understanding: What we know, what we don’t know, what we want to know

Banasik-Jemielniak

Kałowski

2022

rev commun res

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AA significant part of everyday verbal communication consists of nonliteral language, including irony (Gibbs 2000). Efficient irony use can serve a wide range of pragmatic goals, while deficits in irony comprehension can have negative social consequences. Whereas a large body of psycholinguistic research has been produced on irony use and understanding by adults, little attention has been paid to the socio-cultural characteristics of this phenomenon so far. Some individual factors that have been identified as correlates of irony use include personality of the speaker, gender, age, or speaking a second language. In this article, we argue that it is necessary to bring the aspects of socio-cultural variables and individual characteristics together in the further study of irony across national cultures. To this end, we present a narrative review of theoretical and quantitative empirical literature from the field of psycholinguistics on both national cultural and individual/psychological factors impacting the use and understanding of verbal irony in communication. Based on the review, we suggest a theoretical model that could guide future quantitative studies on irony use such that both contextual factors (including national cultural dimensions) and individual differences between the speakers are clearly defined and related to one another in terms of their influence.

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“…They discovered that some particular intensity and pitch contours are indicative of sarcastic speech. Vocal cues were utilized by Rockwell et al [25] in order to detect sarcasm. Their results indicated that intense low-pitched utterance with slow cadence has higher probability of being sarcastic.…”

Section: Related Workmentioning

confidence: 99%

Multimodal Sarcasm Detection: A Deep Learning Approach

Bharti

Gupta

Shukla

et al. 2022

Wireless Communications and Mobile Computing

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In the modern era, posting sarcastic comments on social media became the common trend. Sarcasm is often used by people to taunt or pester others. It is frequently expressed through inflexion, tonal stress in speech or in the form of lexical, pragmatic, and hyperbolic features present in the text. Most of the existing work has been focused on either detecting sarcasm in textual data using text features or audio data using audio features. This article proposed a novel approach by combining textual and audio features together to detecting sarcasm in conversational data. This hybrid method takes a combined vector of extracted audio and text features from their respective models as the input. This combined features will compensated the shortcomings of only text features and vice-versa. The obtained result of hybrid model outperforms both the individual model significantly.

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Prosodic cues of sarcastic speech in French: slower, higher, wider

Cited by 15 publications

References 21 publications

Ironic twists of sentence meaning can be signaled by forward move of prosodic stress.

Ironic twists of sentence meaning can be signaled by forward move of prosodic stress.

Socio-cultural and individual factors in verbal irony use and understanding: What we know, what we don’t know, what we want to know

Multimodal Sarcasm Detection: A Deep Learning Approach

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