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Cross-Cultural Emotion Recognition and In-Group Advantage in Vocal Expression: A Meta-Analysis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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On the Perception of Dynamic Emotional Expressions: A Cross-cultural Comparison
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On measuring performance in category judgment studies of nonverbal behavior
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Recognizing Emotions in a Foreign Language
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The Mirror to Our Soul? Comparisons of Spontaneous and Posed Vocal Expression of Emotion
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The effect of group-identification on emotion recognition: The case of cats and basketball players
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Effect size estimation for one-sample multiple-choice-type data: Design, analysis, and meta-analysis.
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On the universality and cultural specificity of emotion recognition: A meta-analysis.
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Methodological requirements to test a possible in-group advantage in judging emotions across cultures: Comment on Elfenbein and Ambady (2002) and evidence.
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Is there universal recognition of emotion from facial expression? A review of the cross-cultural studies.
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Communication of emotions in vocal expression and music performance: Different channels, same code?
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Vocal affect expression: A review and a model for future research.
inferredcites →https://doi.org/10.1037/a0015178openalex-snapshot
"Worth a thousand words": Absolute and relative decoding of nonlinguistic affect vocalizations.
inferredcites →https://doi.org/10.1037/a0036048openalex-snapshot
Evidence for cultural dialects in vocal emotion expression: Acoustic classification within and across five nations.
inferredcites →https://doi.org/10.1037/amp0000399openalex-snapshot
Mapping 24 emotions conveyed by brief human vocalization.
inferredcites →https://doi.org/10.1037/emo0000100openalex-snapshot
The voice conveys emotion in ten globalized cultures and one remote village in Bhutan.
inferredcites →https://doi.org/10.1037/h0042473openalex-snapshot
Elimination of verbal cues in judgments of emotion from voice.
inferredcites →https://doi.org/10.1037/pspi0000066openalex-snapshot
The expression and recognition of emotions in the voice across five nations: A lens model analysis based on acoustic features.
inferredcites →https://doi.org/10.1037/xhp0000043openalex-snapshot
More than accuracy: Nonverbal dialects modulate the time course of vocal emotion recognition across cultures.
inferredcites →https://doi.org/10.1038/s41562-019-0533-6openalex-snapshot
The primacy of categories in the recognition of 12 emotions in speech prosody across two cultures
inferredcites →https://doi.org/10.1038/s41598-018-26889-1openalex-snapshot
The development of cross-cultural recognition of vocal emotion during childhood and adolescence
inferredcites →https://doi.org/10.1073/pnas.0908239106openalex-snapshot
Cross-cultural recognition of basic emotions through nonverbal emotional vocalizations
inferredcites →https://doi.org/10.1075/dujal.2.2.03zhuopenalex-snapshot
Which is the best listener group?
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In the eye of the beholder? Universality and cultural specificity in the expression and perception of emotion
inferredcites →https://doi.org/10.1080/00207598108247409openalex-snapshot
Perception of the Emotional Content of Speech by Canadian and Mexican Children, Adolescents, and Adults
inferredcites →https://doi.org/10.1080/02699931.2013.812033openalex-snapshot
Cross-cultural emotional prosody recognition: Evidence from Chinese and British listeners
inferredcites →https://doi.org/10.1098/rsos.170912openalex-snapshot
Emotion appraisal dimensions inferred from vocal expressions are consistent across cultures: a comparison between Australia and India
inferredcites →https://doi.org/10.1121/1.5066448openalex-snapshot
Cross-language differences in how voice quality and f contours map to affect
inferredcites →https://doi.org/10.1163/156770908x289242openalex-snapshot
Vocal Emotion Recognition Across Disparate Cultures
inferredcites →https://doi.org/10.1177/0022002183014004001openalex-snapshot
Recognition of Vocal Expressions of Emotion
inferredcites →https://doi.org/10.1177/0022022101032001009openalex-snapshot
Emotion Inferences from Vocal Expression Correlate Across Languages and Cultures
inferredcites →https://doi.org/10.1177/002202217674009openalex-snapshot
Perception of the Emotional Content of Speech
inferredcites →https://doi.org/10.1177/00957984980244002openalex-snapshot
The Ability to Decode Nonverbal Information in African American, African and Afro-Caribbean, and European American Adults
inferredcites →https://doi.org/10.1177/0956797613517239openalex-snapshot
Cultural Relativity in Perceiving Emotion From Vocalizations
inferredcites →https://doi.org/10.1177/1754073912451332openalex-snapshot
Nonverbal Dialects and Accents in Facial Expressions of Emotion
inferredcites →https://doi.org/10.12697/jeful.2015.6.3.01openalex-snapshot
The influence of language and culture on the understanding of vocal emotions
inferredcites →https://doi.org/10.1515/iral.39.1.19openalex-snapshot
Recognition of emotion in English voices by speakers of Japanese, Spanish and English
inferredcites →https://doi.org/10.1515/sem.2006.017openalex-snapshot
Decoding speech prosody in five languages
inferredcites →https://doi.org/10.17265/2159-5542/2013.09.003openalex-snapshot
Multimodal Perception of Emotion in Japanese and Chinese
inferredcites →https://doi.org/10.2307/2093748openalex-snapshot
Nebraska Symposium on Motivation, 1969.
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Culture's Consequences: Comparing Values, Behaviors, Institutions, and Organizations across Nations
inferredcites →https://doi.org/10.3109/14015439.2014.915982openalex-snapshot
Perception of emotional nonsense sentences in China, Egypt, Estonia, Finland, Russia, Sweden, and the USA
inferredcites →https://doi.org/10.3200/gntp.170.1.5-30openalex-snapshot
Cultural In-Group Advantage: Emotion Recognition in African American and European American Faces and Voices
inferredcites →https://doi.org/10.3389/fpsyg.2013.00105openalex-snapshot
Cross-Cultural Differences in the Processing of Non-Verbal Affective Vocalizations by Japanese and Canadian Listeners
inferredcites →https://doi.org/10.3389/fpsyg.2013.00111openalex-snapshot
Encoding Conditions Affect Recognition of Vocally Expressed Emotions Across Cultures
inferredcites →https://doi.org/10.3389/fpsyg.2013.00353openalex-snapshot
Cross-cultural decoding of positive and negative non-linguistic emotion vocalizations
inferredcites →https://doi.org/10.3389/fpsyg.2013.00814openalex-snapshot
The role of motivation and cultural dialects in the in-group advantage for emotional vocalizations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Effect of Affective Vocal Instructions on Task Performance
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Do Emotions Speak a Universal Language? English‐Speaking Preschoolers' and Adults' Detection of Emotional Prosody in an Unfamiliar Language
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Cross‐cultural adaptation and clinical application of the Perth Empathy Scale
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Child’s Emotional Speech Classification by Human Across Two Languages: Russian & Tamil
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Other Aspects to Consider
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Recognition of the Emotional State of Children by Video and Audio Modalities by Indian and Russian Experts
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Naturalistic multimodal emotion data with deep learning can advance the theoretical understanding of emotion
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How do native and non-native speakers recognize emotions in the instructor’s voice in educational videos? Exploring the first step of the cognitive-affective model of e-learning for international learners
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Emotion Recognition Deficits in Children and Adolescents with Psychopathic Traits: A Systematic Review
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Paralinguistic Features Communicated through Voice can Affect Appraisals of Confidence and Evaluative Judgments
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Superior Communication of Positive Emotions Through Nonverbal Vocalisations Compared to Speech Prosody
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Blended Emotions can be Accurately Recognized from Dynamic Facial and Vocal Expressions
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Testing the Ingroup Advantage in Emotion Perception from Dynamic Posed and Spontaneous Expressions
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Cross-Linguistic Recognition of Irony Through Visual and Acoustic Cues
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The hybrid discrete–dimensional frame method for emotional film selection
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Differential effects of Chinese and Caucasian faces on word recognition among Chinese-English bilinguals
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CoDF-Net: coordinated-representation decision fusion network for emotion recognition with EEG and eye movement signals
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Processing emotional prosody in a foreign language: the case of German and Hebrew
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Categorization of Vocal Emotion Cues Depends on Distributions of Input
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How White American Children Develop Racial Biases in Emotion Reasoning
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Expresser Effects in Research on Emotion Communication: Expanding Our Understanding of Inter-individual Differences in Nonverbal Expression of Emotion
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Behind a Voice There is a Speaker: Why Vocal Emotion Research Needs to Become ‘Personal’
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Different ways of measuring emotions cross-culturally
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The influence of virtual reality on improving emotional expressiveness in vocal performance
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Complain like you mean it! How prosody conveys suffering even about innocuous events
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Vocal emotion adaptation aftereffects within and across speaker genders: Roles of timbre and fundamental frequency
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Culture matters for teachers’ emotion regulation and its relations to their well-being: A three-level meta-analytic review
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Why do people make noises in bed?
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State-of-the-art Multimodal Emotion Recognition: A comprehensive survey and taxonomy
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Bimodal emotion decoding: When faces and voices diverge
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Listen to my feelings! How prosody and accent drive the empathic relevance of complaining speech
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The major-minor mode dichotomy in music perception
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Vocal characteristics of accuracy in eyewitness testimony
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Extending the in-group advantage: Vocal emotion recognition in first and second languages by Dutch-English bilinguals
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Listeners’ perceptions of the certainty and honesty of a speaker are associated with a common prosodic signature
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Modelling individual and cross-cultural variation in the mapping of emotions to speech prosody
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A Multimodal Dataset for Assessing Emotion, Stress, and Emotional Workload in Interpersonal Work Scenario
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Novel vocalizations are understood across cultures
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Recognition of emotions in German laughter across cultures
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Dynamic multimodal expressions support inference of both presence and relative salience of blended emotions
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Vocal cues to eyewitness accuracy are detected by listeners with and without language comprehension
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Decline of Affective Prosody Recognition With a Positivity Bias Among Older Adults: A Systematic Review and Meta-Analysis
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Emotional Factor Recognition and Teaching Strategy Adjustment in Cultural Teaching Supported by Artificial Intelligence
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Progress and Trends of Affective Prosody Research over 25 Years: A Bibliometrics-Based Visualization Analysis (1997–2021)
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Heuristic Pleasure, Systematic Aversion: The Psychological Mechanisms of AI Music Appreciation
inferred← citeshttps://doi.org/10.2139/ssrn.6100677openalex-snapshot
Heuristic Pleasure, Systematic Aversion: The Psychological Mechanisms of AI Music Appreciation
inferred← citeshttps://doi.org/10.2196/88092openalex-snapshot
Training Empathetic Communication Skills in Medical Students With a Role-Prompted GPT-4o Chatbot: Quasi-Experimental Intervention Study
inferred← citeshttps://doi.org/10.22190/full221206002kopenalex-snapshot
PROSODIC CHARACTERISTICS OF ACOUSTIC SIGNAL IN SERBIAN AND EMOTION RECOGNITION
inferred← citeshttps://doi.org/10.2478/amns-2024-2704openalex-snapshot
A Study of the Function of Emotional Calculation in Expressing and Communicating in Music Performance in Multicultural Contexts
inferred← citeshttps://doi.org/10.31219/osf.io/vsrjhopenalex-snapshot
Reading Emotions, Reading People: Emotion Perception and Inferences Drawn from Perceived Emotions
inferred← citeshttps://doi.org/10.31234/osf.io/3t9gdopenalex-snapshot
Why do people make noises in bed?
inferred← citeshttps://doi.org/10.31234/osf.io/g8z9bopenalex-snapshot
Emotion Recognition Deficits in Children and Adolescents with Psychopathic Traits: A Systematic Review
inferred← citeshttps://doi.org/10.31234/osf.io/hzskdopenalex-snapshot
Learning Emotional Dialects: A British Population Study of Cross-Cultural Communication
inferred← citeshttps://doi.org/10.31234/osf.io/jqf8hopenalex-snapshot
Superior communication of positive emotions through nonverbal vocalisations compared to speech prosody
inferred← citeshttps://doi.org/10.31234/osf.io/nar2eopenalex-snapshot
Cultural invariance in musical communication (for CogSci 2022 Proceedings)
inferred← citeshttps://doi.org/10.32782/apv/2024.1.12openalex-snapshot
ШЛЯХИ ФОРМУВАННЯ ЕМОЦІЙНОЇ ГРАМОТНОСТІ У ДІТЕЙ СТАРШОГО ДОШКІЛЬНОГО ВІКУ З ПОРУШЕННЯМИ МОВЛЕННЯ
inferred← citeshttps://doi.org/10.33881/2027-1786.rip.15209openalex-snapshot
Comunicación no verbal de emociones: variables sociodemográficas y ventaja endogrupal
inferred← citeshttps://doi.org/10.3389/fcomm.2026.1728758openalex-snapshot
Perception of emotions across Portuguese varieties
inferred← citeshttps://doi.org/10.3389/fpsyg.2020.619222openalex-snapshot
Emotivity in the Voice: Prosodic, Lexical, and Cultural Appraisal of Complaining Speech
inferred← citeshttps://doi.org/10.3389/fpsyg.2024.1437701openalex-snapshot
Cross-regional cultural recognition of adolescent voice emotion
inferred← citeshttps://doi.org/10.3389/fpsyg.2025.1527121openalex-snapshot
Feeling seen matters: how organization-based self-esteem mediates the relationship between university students’ coping resources and thriving in Germany, Indonesia, and the United Arab Emirates
inferred← citeshttps://doi.org/10.3389/fpsyt.2025.1533611openalex-snapshot
Measuring cognitive and affective empathy across positive and negative emotions: psychometric properties and measurement invariance of the Perth Empathy Scale
inferred← citeshttps://doi.org/10.3390/brainsci14121216openalex-snapshot
Sex Differences in Processing Emotional Speech Prosody: Preliminary Findings from a Multi-Feature Oddball Study
inferred← citeshttps://doi.org/10.3390/data10100164openalex-snapshot
Review and Comparative Analysis of Databases for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.3390/data6120130openalex-snapshot
Mexican Emotional Speech Database Based on Semantic, Frequency, Familiarity, Concreteness, and Cultural Shaping of Affective Prosody
inferred← citeshttps://doi.org/10.3390/jintelligence11070145openalex-snapshot
The Meso-Expression Test (MET): A Novel Assessment of Emotion Perception
inferred← citeshttps://doi.org/10.3390/languages10090204openalex-snapshot
Measuring Emotion Recognition Through Language: The Development and Validation of an English Productive Emotion Vocabulary Size Test
inferred← citeshttps://doi.org/10.3390/math10142373openalex-snapshot
Automatic Speech Emotion Recognition of Younger School Age Children
inferred← citeshttps://doi.org/10.3390/s22145311openalex-snapshot
Machine Learning Algorithms for Detection and Classifications of Emotions in Contact Center Applications
inferred← citeshttps://doi.org/10.3758/s13421-024-01614-8openalex-snapshot
Play it again, but more sadly: Influence of timbre, mode, and musical experience in melody processing
inferred← citeshttps://doi.org/10.3758/s13428-024-02595-xopenalex-snapshot
CNEV: A corpus of Chinese nonverbal emotional vocalizations with a database of emotion category, valence, arousal, and gender
inferred← citeshttps://doi.org/10.4018/979-8-3373-6581-7.ch006openalex-snapshot
Deep Learning-Driven Emotion Recognition for Personalized and Adaptive E-Learning Systems
inferred← citeshttps://doi.org/10.5216/mh.v22.73655openalex-snapshot
Emotional expression in vocal skill from the perspective of multiculturalism
inferred← citeshttps://doi.org/10.70675/e79c9094z72f1z479dzbf7dza45ee7d0c3bbopenalex-snapshot
Social Emotion Recognition with multimodal deep learning architecture in emergency call centers
inferred← citeshttps://doi.org/10.7287/peerj-cs.804v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Comparing supervised and unsupervised approaches to multimodal emotion recognition (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.804v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Comparing supervised and unsupervised approaches to multimodal emotion recognition (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.804v0.1/reviews/3openalex-snapshot
Peer Review #3 of "Comparing supervised and unsupervised approaches to multimodal emotion recognition (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.804v0.2/reviews/3openalex-snapshot
Peer Review #3 of "Comparing supervised and unsupervised approaches to multimodal emotion recognition (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.804openalex-snapshot
Comparing supervised and unsupervised approaches to multimodal emotion recognition
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.