Stated motivations in SER research for practical applications do not align with the datasets and emotions studied in practice.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2representative citing papers
Zero-shot vision-language models are unreliable and vary widely for depression screening, and explainability-based fairness interventions often trade away accuracy without reliable fairness gains.
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Unrequited Emotions: Investigating the Gaps in Motivation and Practice in Speech Emotion Recognition Research
Stated motivations in SER research for practical applications do not align with the datasets and emotions studied in practice.
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FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
Zero-shot vision-language models are unreliable and vary widely for depression screening, and explainability-based fairness interventions often trade away accuracy without reliable fairness gains.