Nikolina Kuruzović, Valentina Đorić, Ivana Novakov

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The study focuses on the process of emotional recognition based on prosodic characteristics of acoustic signal in Serbian. Its main objective is to answer the question of the success of prosodic recognition of several emotions in Serbian. Furthermore, it explores whether the success in recognizing emotions in Serbian varies with regards to the following variables: the type of emotion, gender and the type of sentence. A total of 25 participants of average age around 23 participated in the study.  The data was created by using Praat software for speech analysis. The results show general success in recognizing emotions on the level of M=12.43 (SD= 6.11). The participants were the most successful in recognizing the emotion of happiness, and the least successful in recognizing sadness. Post hoc analysis found a statistically significant difference in recognizing happiness and emotions of the negative spectrum (sadness, boredom, anger and fear). The results are discussed from the point of social functions of emotions, as well as the characteristics of the affective prosody in Serbian, with recognition of inevitable methodological limitations.


prosody, intonation, pitch, emotion recognition, Serbian, Praat program

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Abdel-Hamid, Lamiaa. 2020. “Egyptian Arabic speech emotion recognition using prosodic, spectral and wavelet features.” Speech Communication 122: 19-30.

Bąk, Halszka. 2016. Emotional prosody processing for non-native English speakers. Cham: Springer.

Bryant, Gregory A. 2020. “The evolution of human vocal emotion.” Emotion Review 13(1): 25-33.

Douglas-Cowie, Ellen, Nick Campbell, Roddy Cowie & Peter Roach. 2003. Emotional speech: Towards a new generation of database. Speech Communication, 40, 33-60.

Ekman, Paul. 1992. “An argument for basic emotions.” Cognition and Emotion 6(3/4): 69-200.

Ekman, Paul. 2003. “Sixteen enjoyable emotions.” Emotion Researcher 18: 6-7. database.” Speech Communication 40: 33-60.

Elfenbein, Hillary A. and Nalini Ambady. 2002. “On the universality and cultural specificity of emotion recognition: A meta-analysis.” Psychological Bulletin 128: 203-235.

Gendron, Maria, Debi Roberson, Jacoba Marieta van der Vyver and Lisa Feldman Barrett. 2014. “Cultural relativity in perceiving emotion from vocalizations.” Psychological Science 25(4): 911-920.

Goerlich, Katharina S., Jurriaana Witteman, Andre Aleman and Sander Martens. 2011. “Hearing feelings: Affective categorization of music and speech in alexithymia, an ERP study.” PLoS ONE 6(5): 1-11.

Halberstadt, Amy.G., Susanne A. Denham and Julie C. Dunsmore. 2001. “Affective social competence.” Social Development 10(1): 79-119.

Huang Yu-Lien, Sue-Huei Chen and Huai-HsuanTseng. 2019. “Attachment avoidance and fearful prosodic emotion recognition predict depression maintenance.” Psychiatry Research 272: 649-654.

Jawant, Abhishek and Marc D. Pell. 2010. “Listener impressions of speakers with Parkinson`s disease.” Journal of the International Neuropsychological Society 16(1): 49-57.

Jovičić, Slobodan, Zorka Kašić i Miodrag Đorđević. 2006. Paralingvističke i ekstralingvističke informacije u govornim tehnologijama. Zbornik radova 50. Konferencije za ETRAN, Beograd, 2, 443-449.

Laukka, Petri & Hillary A. Elfenbein. 2021. Cross-cultural emotion recognition and in-group advantage in vocal expression: A Meta-Analysis. Emotion Review, 13(1), 3-11.

Leena, Mary. 2012. Extraction of prosody for automatic speaker, language, emotion and speech recognition. Cham: Springer. Retrieved from

Mayer, John. D., Richard D. Roberts and Sigal G. Barsade. 2008. “Human Abilities: Emotional Intelligence.” The Annual Review of Psychology 59: 507-536.

Meftah, Ali, Sid-Ahmed Selouani and Yousef A. Alotaibi. 2015. Preliminary Arabic speech emotion classification. In: Proceedings of the IEEE International Symposium on Signal Processing and Information Technology ISSPIT.

Morningstar, Michele, Eric E. Nelson and Melanie A. Dirks. 2018. “Maturation of vocal emotion recognition: Insights from the developmental and neuroimaging literature.” Neuroscience Biobehavioral Review 90: 221-230.

Ocić, Gordana. 2012. Klinička neuropsihologija. Beograd: Zavod za udžbenike i nastavna sredstva.

Öhman, Arne. 2002. “Automaticity and the amygdala: Nonconscious responses to emotional faces.” Current Directions in Psychological Science 11: 62-66.

Paulmann, Silke and Ayse K. Uskul. 2014. “Cross-cultural emotional prosody recognition: Evidence from Chinese and British listeners.” Cognition and Emotion 2: 230-244.

Pell, Marc D., Paulmann, Silke, Chinar Dara, Areej Alasseri & Sonja A. Kotz. 2009. “Factors in recognition of vocally expressed emotions. A comparison of four languages.” Journal of Phonetics 37: 417-435.

Sauter Disa A., Frank Eisner, Paul Ekman and Sophie K. 2010. Cross-cultural recognition of basic emotions through nonverbal emotional vocalizations. Proceedings of the National Academy of Sciences of the United States of America, 107(6): (pp. 2408-2412).

Scherer, Klaus R., Rainer Banse and Wallbott Harald Wallbott. 2001. “Emotion inferences from vocal expression correlate across languages and cultures.” Journal of Cross-Cultural Psychology 32(1): 76-92.

Schirmer, Annett and Sonja A. Kotz. 2003. “ERP Evidence for a sex-specific Stroop effect in emotional speech.” Journal of Cognitive Neuroscience 15(8): 1135-1148.



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