The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
The sound of sarcasm
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Citations
Cites
Grice, H. P. (1975) · Speech Acts · doi:10.1163/9789004368811_003 · Cited by 23,221
Praat: Doing Phonetics by Computer
(2011) · Ear & Hearing · doi:10.1097/aud.0b013e31821473f7 · Cited by 7,863
Vocal affect expression: A review and a model for future research.
Scherer, K. R. (1986) · Psychological Bulletin · doi:10.1037//0033-2909.99.2.143 · Cited by 1,767
Acoustic profiles in vocal emotion expression
Banse, R., & Scherer, K. R. (1996) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.70.3.614 · Cited by 1,546
A Two-Stage Model for the Appreciation of Jokes and Cartoons: An Information-Processing Analysis
Suls, J. M. (1972) · The Psychology of Humor · doi:10.1016/b978-0-12-288950-9.50010-9 · Cited by 788
The role of voice quality in communicating emotion, mood and attitude
Gobl, C. (2003) · Speech Communication · doi:10.1016/s0167-6393(02)00082-1 · Cited by 787
Emotions and speech: some acoustical correlates.
Williams, C. E., & Stevens, K. N. (1972) · The Journal of the Acoustical Society of America · doi:10.1121/1.1913238 · Cited by 735 · cited 2×
“…restricted to perceptual impressions of loudness (Rockwell, 2000a, 2005), further acoustic data will be needed to reconcile our findings since the relationship between objective acoustic features and their perceptual correlates is not precise (Sobin and Alpert, 1999; Williams and Stevens, 1972).”
BackgroundGibbs, R. W. (2000) · Metaphor and Symbol · doi:10.1080/10926488.2000.9678862 · Cited by 695
How to be sarcastic: The echoic reminder theory of verbal irony.
Kreuz, R. J., & Glucksberg, S. (1989) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.118.4.374 · Cited by 605
Harmonics-to-noise ratio as an index of the degree of hoarseness
Yumoto, E., Gould, W. J., & Baer, T. (1982) · The Journal of the Acoustical Society of America · doi:10.1121/1.387808 · Cited by 559
Cited by
Sarcasm as Contrast between a Positive Sentiment and Negative Situation
Riloff, E., Qadir, A., Surve, P., De Silva, L., Gilbert, N., & Huang, R. (2013) · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d13-1066 · Cited by 587
Perceptual Cues in Nonverbal Vocal Expressions of Emotion
Sauter, D. A., Eisner, F., Calder, A. J., & Scott, S. K. (2010) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470211003721642 · Cited by 356
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
Castro, S., Hazarika, D., Pérez-Rosas, V., Zimmermann, R., Mihalcea, R., & Poria, S. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/p19-1455 · Cited by 243
Kantrowitz, J. T., Hoptman, M. J., Leitman, D. I., Silipo, G., & Javitt, D. C. (2014) · Psychological Medicine · doi:10.1017/s0033291713000834 · Cited by 56
Metadata
- Authors
- Cheang, H. S., & Pell, M. D.
- Venue
- Speech Communication
- Publisher
- Elsevier BV
- Published
- 2008-05
- Volume
- 50
- Issue
- 5
- Pages
- 366-381
- ISSN
- 0167-6393 (ISSN-L)
- OpenAlex
- W2077019552
- Cited by
- 273
- References
- 56
- FWCI
- 5.01
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: The sound of sarcasm. https://app.cochat.ai/papers/10.1016/j.specom.2007.11.003
- The paper
- Cheang, H. S., & Pell, M. D. (2008). The sound of sarcasm. Speech Communication. https://doi.org/10.1016/j.specom.2007.11.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.