警告:人类无法可靠地检测语音深度假冒
Kimberly T Mai1,2, Sergi Bray1,2, Toby Davies1
1Department of Security and Crime Science, University College London, London, United Kingdom.
PloS one
|August 2, 2023
概括
人类检测人工语音深度假的能力是不可靠的,听众只能在73%的时间内正确识别它们. 这凸显了对人工智能产生的语音威胁的先进防御的迫切需要.
科学领域:
- 人工智能的人工智能
- 人与计算机的交互
- 网络安全 网络安全
背景情况:
- 语音深度假冒,人工智能生成的人工声音,由于潜在的滥用,造成了重大安全风险.
- 有限的研究存在于人类的能力,以检测这些复杂的音频伪造.
研究的目的:
- 为了评估人类识别演讲深度假的准确性.
- 调查语言 (英语与普通话) 对深度假冒检测性能和理由的影响.
- 评估听众意识对检测能力的影响.
主要方法:
- 向529名参与者展示了真实和深度假冒的音频样本.
- 在英语和普通话两种语言进行了实验.
- 分析了检测准确性和决策过程.
主要成果:
- 人类对语音深度假冒的检测是不可靠的,平均准确率为73%.
- 在英语和普通话说者之间没有观察到可检测性的显著差异.
- 提供深度假冒的例子只会导致检测准确度的边际改进.
结论:
- 目前的人类能力不足以可靠地检测高级语音深度假冒.
- 语音合成越来越现实,需要开发强大的技术防御.
- 语音深度假冒代表着日益增长的网络安全威胁,需要积极的缓解策略.
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