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.

该博士项目旨在针对音频领域中深度伪造技术的犯罪使用，即虚假语音（即冒充语音）。尽管近年来深度造假应用程序越来越为公众所熟知，但对深度造假的普遍看法仍然与视觉模仿有关，即以数字方式将一个人（通常是名人）的脸部移植到另一个人的脸上，并且随着深度造假图像和视频变得越来越令人信服，通常会取得相当大的成功。然而，尽管虚假言论领域不太为公众所知，但它仍然给社会带来了现实的问题和后果。因此，该项目将通过四种方式解决假语音问题： i) 人类检测人类生成的虚假语音 ii) 人类检测机器生成的虚假语音 iii) 机器检测人类生成的虚假语音 iv) 机器检测机器生成的虚假语音 通过提高四种场景中每一个场景的虚假语音检测率，预计该项目产生的结果可以构成 打击虚假言论的整体折衷努力。