Fake speech: Generating and detecting convincing voice impersonations by humans and machines

虚假语音：生成和检测人类和机器令人信服的语音模仿

• 批准号: 2751223
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2751223
• 关键词: Fake; speech; Generating; detecting; convincing

This doctoral project aims to target the criminal use of deepfake technology in the audio domain, namely fake speech(i.e. impersonated speech). While deepfake applications are becoming more well-known to the public in recent years, thegeneral perception of deepfake still relates to visual impersonation, i.e. digitally transplanting an individual's (typically afamous person) face on top of another person's face, and often with considerable success as deepfaked images andvideos are becoming more convincing. However, although the domain of fake speech is less well-known to the generalpublic, it nevertheless presents real problems and consequences to society. Hence, this project will tackle the problem offake speech through a four-way permutation: i) Humans detecting fake speech generated by humans ii) Humansdetecting fake speech generated by machines iii) Machines detecting fake speech generated by humans iv) Machinesdetecting fake speech generated be machines By improving the rate of fake speech detection in each of the fourscenarios, it is anticipated that the results arising from this project can form a part of an overall eclectic effort to combatfake speech.

这个博士项目旨在针对音频领域中的深击技术的刑事用途，即假言语（即模仿言语）。虽然近年来，近年来，深层应用程序变得越来越广为人知，但对深泡的一般感知仍然与视觉模仿有关，即，在数字上移植了一个人的脸部（通常是那个人）的脸，并且通常在深深的图像和视图中取得了巨大的成功。但是，尽管假言语的领域不太熟悉，但它仍然给社会带来了真正的问题和后果。 Hence, this project will tackle the problem offake speech through a four-way permutation: i) Humans detecting fake speech generated by humans ii) Humansdetecting fake speech generated by machines iii) Machines detecting fake speech generated by humans iv) Machinesdetecting fake speech generated be machines By improving the rate of fake speech detection in each of the fourscenarios, it is anticipated that the results arising from this project can form a part of打击演讲的整体折衷努力。