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Our simulation studies further illustrate how these disparities can result in skewed and ultimately unfounded interpretations, exemplified by an emotion detection task. We furnish a set of recording procedures to guarantee the reliability and validity of vocal recordings, and present initial proof for an approach employing machine learning for bias reduction when encountering