Abstract
Human screams have been suggested to comprise a salient and readily identified call type, yet few studies have explored the degree to which people agree on what constitutes a scream, and the defining acoustic structure of screams has not been fully determined. In this study, participants listened to 75 human vocal sounds, representing both a broad acoustical range and array of emotional contexts, and classified each as to whether it was a scream or not. Participants showed substantial agreement on which sounds were considered screams, consistent with the idea of screams as a basic call type. Agreement on classifications was related to participant gender, emotion processing accuracy, and empathy. To characterize the acoustic structure of screams, we measured the stimuli on 27 acoustic parameters. Principal components analysis and generalized linear mixed modeling indicated that classification as a scream was positively correlated with 3 acoustic dimensions: one corresponding to high pitch and roughness, another corresponding to wide fundamental frequency variability and narrow interquartile range bandwidth, and a third positively correlated with peak frequency slope. Twenty-six stimuli were agreed upon by > 90% of participants to be screams, but these were not acoustically homogeneous, and others evoked mixed responses. These results suggest that while screams might represent a salient and possibly innate call type, they also exhibit perceptual and acoustic gradation, perhaps reflecting the wide range of emotions and contexts in which they occur.
Similar content being viewed by others
References
Ackermann, H., Hage, S. R., & Ziegler, W. (2014). Brain mechanisms of acoustic communication in humans and nonhuman primates: An evolutionary perspective. Behavioral and Brain Sciences,37(6), 529–546. https://doi.org/10.1017/S0140525X13003099.
Anikin, A., Bååth, R., & Persson, T. (2018). Human non-linguistic vocal repertoire: Call types and their meaning. Journal of Nonverbal Behavior,49(2), 53–80. https://doi.org/10.1007/s10919-017-0267-y.
Anikin, A., & Persson, T. (2017). Nonlinguistic vocalizations from online amateur videos for emotion research: A validated corpus. Behavior Research Methods,49(2), 758–771. https://doi.org/10.3758/s13428-016-0736-y.
Arnal, L. H., Flinker, A., Kleinschmidt, A., Giraud, A. L., & Poeppel, D. (2015). Human screams occupy a privileged niche in the communication soundscape. Current Biology,25(15), 2051–2056. https://doi.org/10.1016/j.cub.2015.06.043.
Baron-Cohen, S., & Wheelwright, S. (2004). The empathy quotient: An investigation of adults with Asperger syndrome or high functioning autism, and normal sex differences. Journal of Autism and Developmental Disorders,34(2), 163–175. https://doi.org/10.1023/B:JADD.0000022607.19833.00.
Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language,68, 255–278. https://doi.org/10.1016/j.jml.2012.11.001.
Belin, P. (2006). Voice processing in human and non-human primates. Philosophical Transactions of the Royal Society B: Biological Sciences,361(1476), 2091–2107. https://doi.org/10.1098/rstb.2006.1933.
Belin, P., & Zatorre, R. J. (2015). Neurobiology: Sounding the alarm. Current Biology,25(18), R805–R806. https://doi.org/10.1016/j.cub.2015.07.027.
Besel, L. D. S., & Yuille, J. C. (2010). Individual differences in empathy: The role of facial expression recognition. Personality and Individual Differences,49(2), 107–112. https://doi.org/10.1016/J.PAID.2010.03.013.
Bioacoustics Research Program. (2014). Raven Pro: Interactive sound analysis software (version 1.5) [Computer software]. Ithaca, NY: The Cornell Lab of Ornithology. Retrieved March 27, 2019 from http://www.birds.cornell.edu/raven.
Boersma, P., & Weenink, D. (2013). Praat: Doing phonetics by computer (Version 5.3.51). Retrieved January 9, 2018 from http://www.praat.org/.
Briefer, E. F. (2012). Vocal expression of emotions in mammals: Mechanisms of production and evidence. Journal of Zoology,7(1), 1–20. https://doi.org/10.1098/rsbl.2011.0832.
Cheney, D. L. (1977). The acquisition of rank and the development of reciprocal alliances among free-ranging immature baboons. Behavioral Ecology and Sociobiology,2(3), 203–318. https://doi.org/10.1007/BF00299742.
Cohen, Y. E., Hauser, M. D., & Russ, B. E. (2006). Spontaneous processing of abstract categorical information in the ventrolateral prefrontal cortex. Biology Letters,2(2), 261–265. https://doi.org/10.1098/rsbl.2005.0436.
de Waal, F. B. M., & van Hooff, J. A. R. A. M. (1981). Side-directed communication and agonistic interactions in chimpanzees. Behaviour,77(3), 164–198. https://doi.org/10.1163/156853981X00211.
Decety, J. (2011). The neuroevolution of empathy. Annals of the New York Academy of Sciences,1231(1), 35–45. https://doi.org/10.1111/j.1749-6632.2011.06027.x.
DeCoster, J., Gallucci, M., & Iselin, A.-M. R. (2011). Best practices for using median splits, artificial categorization, and their continuous alternatives. Journal of Experimental Psychopathology,2(2), 197–209. https://doi.org/10.5127/jep.008310.
Driver, P. M., & Humphries, D. A. (1969). The significance of the high-intensity alarm call in captured passerines. Ibis,111(2), 243–244. https://doi.org/10.1111/j.1474-919X.1969.tb02531.x.
Dunn, J. C., & Smaers, J. B. (2018). Neural correlates of vocal repertoire in primates. Frontiers in Neuroscience,12, 534. https://doi.org/10.3389/fnins.2018.00534.
Engelberg, J. W. M., & Gouzoules, H. (2018). The credibility of acted screams: Implications for emotional communication research. Quarterly Journal of Experimental Psychology. https://doi.org/10.1177/1747021818816307.
Engelberg, J. W. M., Schwartz, J. W., & Gouzoules, H. (2019). Do human screams permit individual recognition? PeerJ,7, e7087. https://doi.org/10.7717/peerj.7087.
Ficken, M. S., Ficken, R. W., & Witkin, S. R. (1978). Vocal repertoire of the black-capped chickadee. The Auk,95, 34–48. https://doi.org/10.2307/4085493.
Filippi, P., Congdon, J. V., Hoang, J., Bowling, D. L., Reber, S. A., Pašukonis, A., et al. (2017). Humans recognize emotional arousal in vocalizations across all classes of terrestrial vertebrates: Evidence for acoustic universals. Proceedings of the Royal Society B: Biological Sciences,284(1859), 20170990. https://doi.org/10.1098/rspb.2017.0990.
Fischer, J., Wadewitz, P., & Hammerschmidt, K. (2016). Structural variability and communicative complexity in acoustic communication. Animal Behaviour,134, 229–237. https://doi.org/10.1016/j.anbehav.2016.06.012.
Fleiss, J. L. (1971). Measuring nominal scale agreement among many raters. Psychological Bulletin,76(1), 378–382. https://doi.org/10.1037/h0031619.
Gerosa, L., Valenzise, G., Tagliasacchi, M., Antonacci, F., & Sarti, A. (2007). Scream and gunshot detection in noisy environments. In 15th European Signal Processing Conference (pp. 1216–1220).
Gifford, G. W., Hauser, M. D., & Cohen, Y. E. (2003). Discrimination of functionally referential calls by laboratory-housed rhesus macaques: Implications for neuroethological studies. Brain, Behavior and Evolution,61, 213–224. https://doi.org/10.1159/000070704.
Gifford, G. W., MacLean, K. A., Hauser, M. D., & Cohen, Y. E. (2005). The neurophysiology of functionally meaningful categories: Macaque ventrolateral prefrontal cortex plays a critical role in spontaneous categorization of species-specific vocalizations. Journal of Cognitive Neuroscience,17(9), 1471–1482. https://doi.org/10.1162/0898929054985464.
Golan, O., Baron-Cohen, S., Hill, J. J., & Rutherford, M. D. (2007). The “Reading the Mind in the Voice” test-revised: A study of complex emotion recognition in adults with and without autism spectrum conditions. Journal of Autism and Developmental Disorders,37(6), 1096–1106. https://doi.org/10.1007/s10803-006-0252-5.
Gouzoules, H., & Gouzoules, S. (1995). Recruitment screams of pigtail monkeys (Macaca nemestrina): Ontogenetic perspectives. Behaviour,132(5), 431–450. https://doi.org/10.1163/156853995X00658.
Gouzoules, H., & Gouzoules, S. (2000). Agonistic screams differ among four species of macaques: The significance of motivation-structural rules. Animal Behaviour,59(3), 501–512. https://doi.org/10.1006/anbe.1999.1318.
Gouzoules, S., Gouzoules, H., & Marler, P. (1984). Rhesus monkey (Macaca mulatta) screams: Representational signalling in the recruitment of agonistic aid. Animal Behaviour,32(1), 182–193. https://doi.org/10.1016/S0003-3472(84)80336-X.
Green, J. A., Whitney, P. G., & Potegal, M. (2011). Screaming, yelling, whining, and crying: Categorical and intensity differences in vocal expressions of anger and sadness in children’s tantrums. Emotion,11(5), 1124–1133. https://doi.org/10.1037/a0024173.
Hammerschmidt, K., & Fischer, J. (1998). The vocal repertoire of Barbary macaques: A quantitative analysis of a graded signal system. Ethology,104, 203–216. https://doi.org/10.1111/j.1439-0310.1998.tb00063.x.
Hansen, J. H. L., Nandwana, M. K., & Shokouhi, N. (2017). Analysis of human scream and its impact on text-independent speaker verification. The Journal of the Acoustical Society of America,141(4), 2957–2967. https://doi.org/10.1121/1.4979337.
Högstedt, G. (1983). Adaptation unto death: Function of fear screams. The American Naturalist,121(4), 562–570. https://doi.org/10.1086/284083.
Iacobucci, D., Posavac, S. S., Kardes, F. R., Schneider, M. J., & Popovich, D. L. (2015). Toward a more nuanced understanding of the statistical properties of a median split. Journal of Consumer Psychology,25(4), 652–665. https://doi.org/10.1016/j.jcps.2014.12.002.
Jürgens, U. (2009). The neural control of vocalization in mammals: A review. Journal of Voice. https://doi.org/10.1016/j.jvoice.2007.07.005.
Kret, M. E., & De Gelder, B. (2012). A review on sex differences in processing emotional signals. Neuropsychologia,50(7), 1211–1221. https://doi.org/10.1016/j.neuropsychologia.2011.12.022.
Laffitte, P., Sodoyer, D., Tatkeu, C., & Girin, L. (2016). Deep neural networks for automatic detection of screams and shouted speech in subway trains. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 6460–6464). https://doi.org/10.1109/icassp.2016.7472921.
Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics,33(1), 159–174. https://doi.org/10.2307/2529310.
Latoszek, B. B. V., Maryn, Y., Gerrits, E., & De Bodt, M. (2018). A meta-analysis: Acoustic measurement of roughness and breathiness. Journal of Speech, Language, and Hearing Research,61(2), 298–323. https://doi.org/10.1044/2017_JSLHR-S-16-0188.
Lei, B., & Mak, M. W. (2016). Robust scream sound detection via sound event partitioning. Multimedia Tools and Applications,75, 6071–6089. https://doi.org/10.1007/s11042-015-2555-z.
Li, T., Horta, M., Mascaro, J. S., Bijanki, K., Arnal, L. H., Adams, M., et al. (2018). Explaining individual variation in paternal brain responses to infant cries. Physiology & Behavior,193(1), 43–54. https://doi.org/10.1016/j.physbeh.2017.12.033.
Maxwell, S. E., & Delaney, H. D. (1993). Bivariate median splits and spurious statistical significance. Psychological Bulletin,113(1), 181–190. https://doi.org/10.1037/0033-2909.113.1.181.
McPherson, M. J., & McDermott, J. H. (2018). Diversity in pitch perception revealed by task dependence. Nature Human Behaviour,2(1), 52–66. https://doi.org/10.1038/s41562-017-0261-8.
Nandwana, M. K., Ziaei, A., & Hansen, J. H. L. (2015). Robust unsupervised detection of human screams in noisy acoustic environments. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 161–165). IEEE. https://doi.org/10.1109/icassp.2015.7177952.
Owings, D. H., & Morton, E. S. (1998). Animal vocal communication: A new approach. Cambridge: Cambridge University Press.
Owren, M. J. (2008). GSU Praat tools: Scripts for modifying and analyzing sounds using Praat acoustics software. Behavior Research Methods,40(3), 822–829. https://doi.org/10.3758/BRM.40.3.822.
Owren, M. J., Amoss, R. T., & Rendall, D. (2011). Two organizing principles of vocal production: Implications for nonhuman and human primates. American Journal of Primatology,73(6), 530–544. https://doi.org/10.1002/ajp.20913.
Owren, M. J., & Bachorowski, J. A. (2007). Measuring emotion-related vocal acoustics. In J. Coan & J. Allen (Eds.), The handbook of emotion elicitation and assessment (pp. 239–266). Oxford: Oxford University Press.
Price, T., Wadewitz, P., Cheney, D., Seyfarth, R., Hammerschmidt, K., & Fischer, J. (2015). Vervets revisited: A quantitative analysis of alarm call structure and context specificity. Scientific Reports,5, 1–11. https://doi.org/10.1038/srep13220.
R Core Team. (2018). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. Retrieved October 15, 2018 from http://www.r-project.org/.
Rand, A. S., & Ryan, M. J. (1981). The adaptive significance of a complex vocal repertoire in a neotropical frog. Zeitschrift für Tierpsychologie,57(3–4), 209–214. https://doi.org/10.1111/j.1439-0310.1981.tb01923.x.
Rohwer, S., Fretwell, S. D., & Tuckfield, R. C. (1976). Distress screams as a measure of kinship in birds. American Midland Naturalist,96(2), 418–430. https://doi.org/10.2307/2424080.
Sauter, D. A., & Eimer, M. (2010). Rapid detection of emotion from human vocalizations. Journal of Cognitive Neuroscience,22(3), 474–481. https://doi.org/10.1162/jocn.2009.21215.
Sauter, D. A., Eisner, F., Ekman, P., & Scott, S. K. (2010). Cross-cultural recognition of basic emotions through nonverbal emotional vocalizations. Proceedings of the National Academy of Sciences,107(6), 2408–2412. https://doi.org/10.1073/pnas.0908239106.
Schröder, M. (2003). Experimental study of affect bursts. Speech Communication,40(1–2), 99–116. https://doi.org/10.1016/S0167-6393(02)00078-X.
Schwartz, J. W., & Gouzoules, H. (2019). Decoding human screams: Perception of emotional arousal from pitch and duration. Behaviour,156(13–14), 1283–1307. https://doi.org/10.1163/1568539x-00003566.
Seyfarth, R. M., Cheney, D. L., & Marler, P. (1980). Vervet monkey alarm calls: Semantic communication in a free-ranging primate. Animal Behaviour. https://doi.org/10.1016/S0003-3472(80)80097-2.
Slocombe, K. E., Townsend, S. W., & Zuberbühler, K. (2009). Wild chimpanzees (Pan troglodytes schweinfurthii) distinguish between different scream types: Evidence from a playback study. Animal Cognition,12(3), 441–449. https://doi.org/10.1007/s10071-008-0204-x.
Slocombe, K. E., & Zuberbühler, K. (2005). Agonistic screams in wild chimpanzees (Pan troglodytes schweinfurthii) vary as a function of social role. Journal of Comparative Psychology,119(1), 67–77. https://doi.org/10.1037/0735-7036.119.1.67.
Tallet, C., Linhart, P., Policht, R., Hammerschmidt, K., Šimeček, P., Kratinova, P., et al. (2013). Encoding of situations in the vocal repertoire of piglets (Sus scrofa): A comparison of discrete and graded classifications. PLoS ONE. https://doi.org/10.1371/journal.pone.0071841.
Vassilakis, P. N. (2007). SRA: A web-based research tool for spectral and roughness analysis of sound signals. In: Proceedings SMC’07, 4th Sound and Music Computing Conference (pp. 319–325). https://doi.org/10.1121/1.4777277.
Vassilakis, P. N., & Fitz, K. (2007). SRA: A web-based research tool for spectral and roughness analysis of sound signals. In: Supported by a Northwest Academic computing consortium grant to J. Middleton: Eastern Washington University. https://doi.org/10.1121/1.4777277.
Wadewitz, P., Hammerschmidt, K., Battaglia, D., Witt, A., Wolf, F., & Fischer, J. (2015). Characterizing vocal repertoires—Hard vs. soft classification approaches. PLoS ONE,10(4), e0125785. https://doi.org/10.1371/journal.pone.0125785.
Zuberbühler, K., Cheney, D. L., & Seyfarth, R. M. (1999). Conceptual semantics in a nonhuman primate. Journal of Comparative Psychology,113(1), 33–42. https://doi.org/10.1037/0735-7036.113.1.33.
Acknowledgements
We thank Caitlin Clark, Alexander Gouzoules, Leah Friedman, Elizabeth Harlan, and NooRee Lee for assistance with stimulus collection, and Anna Duncan for assistance with stimulus and data collection. We also thank Anna M. Hardin and three anonymous reviewers for their comments on earlier drafts of this manuscript.
Funding
JWS was supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE – 1343012. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical Approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Schwartz, J.W., Engelberg, J.W.M. & Gouzoules, H. Was That a Scream? Listener Agreement and Major Distinguishing Acoustic Features. J Nonverbal Behav 44, 233–252 (2020). https://doi.org/10.1007/s10919-019-00325-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10919-019-00325-y