Evidence map›Paper›PMID 36791129›Full record

ArticlePloS one2023

The children's emotional speech recognition by adults: Cross-cultural study on Russian and Tamil language.

Elena Lyakso, Nersisson Ruban, Olga Frolova, Mary A Mekala

Abstract read
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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Elena LyaksoThe Child Speech Research Group, St. Petersburg State University, St. Petersburg, Russia.ORCID 0000-0002-6073-0393
Nersisson RubanSchool of Electrical Engineering, Vellore Institute of Technology, Vellore, India.ORCID 0000-0003-1695-3618
Olga FrolovaThe Child Speech Research Group, St. Petersburg State University, St. Petersburg, Russia.
Mary A MekalaSchool of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study investigated the features of cross-cultural recognition of four basic emotions "joy-neutral (calm state)-sad-anger" in the spontaneous and acting speech of Indian and Russian children aged 8-12 years across Russian and Tamil languages. The research tasks were to examine the ability of Russian and Indian experts to recognize the state of Russian and Indian children by their speech, determine the acoustic features of correctly recognized speech samples, and specify the influence of the expert's language on the cross-cultural recognition of the emotional states of children. The study includes a perceptual auditory study by listeners and instrumental spectrographic analysis of child speech. Different accuracy and agreement between Russian and Indian experts were shown in recognizing the emotional states of Indian and Russian children by their speech, with more accurate recognition of the emotional state of children in their native language, in acting speech vs spontaneous speech. Both groups of experts recognize the state of anger via acting speech with the high agreement. The difference between the groups of experts was in the definition of joy, sadness, and neutral states depending on the test material with a different agreement. Speech signals with emphasized differences in acoustic patterns were more accurately classified by experts as belonging to emotions of different activation. The data showed that, despite the universality of basic emotions, on the one hand, the cultural environment affects their expression and perception, on the other hand, there are universal non-linguistic acoustic features of the voice that allow us to identify emotions via speech.

Indexed as

SpeechSpeech PerceptionAdultChildCross-Cultural ComparisonEmotionsHumansIndiaLanguage

Identifiers

PMID36791129
PMCPMC9931107

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