研究发现男性语音更易被误判为阿尔茨海默病，尤其在中文语境下。
Exploring Gender Bias in Alzheimer's Disease Detection: Insights from Mandarin and Greek Speech Perception
- 通过16名中文听众评估中英文语音，发现男性语音更常被误判为阿尔茨海默病
- 男性语音的颤动值（shimmer）与误判显著相关，语段时长则呈负相关
- 提示在构建诊断模型时需警惕性别偏差，尤其跨语言场景下
性别偏见广泛存在于语音感知任务中，受男女声带基频差异影响。本研究揭示了阿尔茨海默病（AD）语音感知中的性别偏见：在16名中文听众对中英文语音的感知实验中，男性语音更常被误判为患有阿尔茨海默病，该现象在中文语音中尤为明显。声学分析显示，男性语音的颤动值（shimmer）与阿尔茨海默病感知显著相关，而语音片段时长则与识别率呈显著负相关。尽管语言类型对感知无显著影响，但研究强调性别偏见在阿尔茨海默病语音感知中的关键作用。该工作呼吁在开发阿尔茨海默病检测模型时应重视性别偏差，并推动跨语言环境下模型性能的进一步验证。
原文摘要 · Abstract (English)
Gender bias has been widely observed in speech perception tasks, influenced by the fundamental voicing differences between genders. This study reveals a gender bias in the perception of Alzheimer's Disease (AD) speech. In a perception experiment involving 16 Chinese listeners evaluating both Chinese and Greek speech, we identified that male speech was more frequently identified as AD, with this bias being particularly pronounced in Chinese speech. Acoustic analysis showed that shimmer values in male speech were significantly associated with AD perception, while speech portion exhibited a significant negative correlation with AD identification. Although language did not have a significant impact on AD perception, our findings underscore the critical role of gender bias in AD speech perception. This work highlights the necessity of addressing gender bias when developing AD detection models and calls for further research to validate model performance across different linguistic contexts.
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