Modern voice cloning models claim to be able to capture a diverse range of
voices. We test the ability of a typical pipeline to capture the style known
colloquially as "gay voice" and notice a homogenisation effect: synthesised
speech is rated as sounding significantly "less gay" (by LGBTQ+ participants)
than its corresponding ground-truth for speakers with "gay voice", but ratings
actually increase for control speakers. Loss of "gay voice" has implications
for accessibility. We also find that for speakers with "gay voice", loss of
"gay voice" corresponds to lower similarity ratings.
However, we caution that improving the ability of such models to synthesise
``gay voice'' comes with a great number of risks. We use this pipeline as a
starting point for a discussion on the ethics of modelling queer voices more
broadly. Collecting "clean" queer data has safety and fairness ramifications,
and the resulting technology may cause harms from mockery to death.

语音克隆模型能否准确捕捉到 “同性恋语音” 并引发辩论，因合成音频距离实际同性恋说话人的语音风格越来越远，导致辨别度下降，而对于控制组则有相反的影响。然而，改进这类模型的能力涉及很多风险，并引发对建模酷儿语音伦理道德性的讨论。采集 “干净” 的酷儿数据存在安全和公平上的问题，相关技术可能带来从嘲笑到死亡的伤害。