分析商业语音模型中的性别化声音，发现其强化了性别权力不平等。
Sexualised synthetic personas encode and amplify gendered power asymmetries through voice
- 从女性主义人机交互视角，分析商用语音生成系统中的性别表演。
- 女性化语音常被描述为性化与顺从，男性化语音则关联支配与积极特质。
- 研究揭示语音AI加剧二元性别与异性恋规范，适合关注技术伦理者阅读。
本文研究了一款主流商业平台提供的性化人工智能英语语音。尽管新技术可能带来性别表达的解放与多样性，但网络中仍普遍存在有毒男权、异性恋霸权及对女性与LGBTQ+群体的虐待。基于女性主义人机交互（Feminist HCI）视角，我们考察商业语音人工智能如何再现并传播特定的性别表现。通过一项包含多元听众的听觉实验，结合定量形容词选择、定性自由文本反馈与声学分析，参与者评估了以性别编码的男性与女性语音，分别搭配性化脚本或中性文本。结果表明，性别表达范围狭窄，主要呈现二元且异性恋规范特征。女性化语音更频繁被描述为性化与顺从，而男性化语音则更多与支配性和积极特质相关。
原文摘要 · Abstract (English)
This work examines sexualised AI-generated English-speaking voices offered by a popular commercial platform. New technologies may enable sexual empowerment and greater diversity in gender expression, yet toxic masculinity, heteronormativity, and the abuse of women and LGBTQ+ people remain pervasive online. Drawing on a Feminist HCI perspective, we examine how commercial voice AI systems reproduce and circulate particular performances of gender. We conducted a listening experiment with a diverse group of listeners, combining quantitative adjective selection, qualitative free-text responses, and acoustic analysis. Participants evaluated male- and female-coded voices presented with either sexualised scripts or neutral text. Results reveal a narrow range of gender expression, largely binary and heteronormative. Female-coded voices are more frequently described using sexualised and submissive terms, while male-coded voices are more often associated with dominance and positive traits.
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