arXiv：cs.AI· Johanna Magdalena Kuch, Maud van Lier, Daksitha Senel Withanage Don, Patrick Gebhard, Tanja Schneeberger, Elisabeth Andr\'e·· 19 小时前
已知声音克隆与人格迁移的边界：虚拟角色设计中的实证研究
Known-Voice Cloning and the Limits of Personality Transfer for Character Design
AI 导读
两项研究测试了虚拟角色使用熟悉人物克隆声音时人格印象是否迁移，结果发现迁移证据有限。研究1在大学场景使用学生熟悉的讲师克隆声音，研究2在线使用社交媒体创作者及其社区成员的声音，观测到的效应具有选择性，未能跨特质或研究场景泛化。在线研究中，可识别的声音身份线索激活了对说话者的预期，但未重建更完整的个人印象，判断常受感知到的人造感和声音与外观匹配度影响。
正文
Abstract:Recent advances in zero-shot voice cloning systems make it possible to reproduce a recognizable voice from a short recording and attach it to arbitrary virtual characters. Prior work suggests that familiar vocal identity can carry over associated personality impressions to new targets such as robots or virtual characters. However, these works have mainly examined familiarity and personalization effects rather than directly testing whether a cloned familiar voice systematically transfers personality impressions to an embodied virtual character. Such transference raises the concern that cloned voices could be used to manipulate people into engaging with virtual characters as capable social actors. Across two studies, we investigated whether personality impressions transfer when a virtual character speaks with the cloned voice of a familiar person. Study 1 examined this question in a real-world university setting using the cloned voice of a lecturer familiar to the participating students. Study 2 examined the same question online using voices of social media content creators and members of their communities. Drawing on the concepts of identity activation, trait transfer, and person reconstruction, we show that evidence of personality transfer was limited in both studies. Observed effects were selective and did not generalize across traits or study contexts. In the online study in particular, recognizable voice identity cues activated expectations about the speaker but did not reconstruct the broader person impression. Qualitative responses further indicated that judgments were frequently shaped by perceived artificiality and by whether voice and appearance fit together. Our findings moderate common concerns that cloned voices straightforwardly manipulate people into perceiving artificial characters as capable social actors.
| Comments: | 17 pages, 3 figures, 1 table. This preprint has been accepted for publication in Connected Futures - Nature, Robots, and Society (Robophilosophy 2026), in the Lecture Notes in Computer Science (LNCS) series, volume 17299 (expected publication: December 2026) |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Robotics (cs.RO) |
| Cite as: | arXiv:2610.18669 [cs.CL] |
| (or arXiv:2610.18669v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.18669 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Maud Van Lier [view email]
[v1]
Tue, 13 Oct 2026 16:27:44 UTC (1,322 KB)
来源：arXiv：cs.AI · arxiv.org