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Beyond the Labels: Unveiling Text-Dependency in Paralinguistic Speech Recognition Datasets
This paper critically evaluates the prevalent assumption that machine learning models trained on such datasets genuinely learn to identify paralinguistic traits, rather than merely capturing lexical features.
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