We present DementiaBank-Emotion, the first multi-rater emotion annotation corpus for Alzheimer's disease (AD) speech. Annotating 1,492 utterances from 108 speakers for Ekman's six basic emotions and neutral, we find that AD patients express significantly more non-neutral emotions (16.9%) than healthy controls (5.7%; p < .001). Exploratory acoustic analysis suggests a possible dissociation: control speakers showed substantial F0 modulation for sadness (Delta = -3.45 semitones from baseline), whereas AD speakers showed minimal change (Delta = +0.11 semitones; interaction p = .023), though this finding is based on limited samples (sadness: n=5 control, n=15 AD) and requires replication. Within AD speech, loudness differentiates emotion categories, indicating partially preserved emotion-prosody mappings. We release the corpus, annotation guidelines, and calibration workshop materials to support research on emotion recognition in clinical populations.

翻译：本文介绍了DementiaBank-Emotion，这是首个面向阿尔茨海默病（AD）言语的多标注者情感标注语料库。通过对108名说话者的1492条话语进行埃克曼六种基本情感及中性情感的标注，我们发现AD患者表达非中性情感的比例（16.9%）显著高于健康对照组（5.7%；p < .001）。探索性声学分析揭示了一种可能的分离现象：对照组说话者在表达悲伤时表现出显著的基频调制（相对于基线Δ = -3.45半音），而AD说话者则变化极小（Δ = +0.11半音；交互作用p = .023），但该发现基于有限样本（悲伤：对照组n=5，AD组n=15）且有待重复验证。在AD言语内部，响度能够区分不同情感类别，表明情感-韵律映射得到部分保留。我们公开了该语料库、标注指南及校准研讨材料，以支持临床人群情感识别研究。