皮质-状脑网络可以区分深度假冒与真实发言者身份
Claudia Roswandowitz1,2,3, Thayabaran Kathiresan4,5, Elisa Pellegrino6
1Cognitive and Affective Neuroscience Unit, Department of Psychology, University of Zurich, Zurich, Switzerland. claudia.roswandowitz@uzh.ch.
Communications biology
|June 11, 2024
概括
人类在区分真实与音频深度假冒时表现中等,揭示了皮层-状状网络中的神经认知处理. 这项研究有助于理解和增强对欺骗性深度假冒技术的抵御力.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 人工智能的人工智能
背景情况:
- 深度假冒,特别是音频深度假冒,对人类对数字环境的看法和信任构成重大挑战.
- 深度假冒能够令人信服地模仿真实声音的能力,可能导致错误识别和欺骗.
研究的目的:
- 为了研究人类对音频深度假冒的敏感性背后的神经认知机制.
- 评估参与者正确识别或拒绝通过深度假冒音频呈现的人身身份的能力.
- 在真实和深度假冒环境中识别参与处理声学模式和扬声器身份的脑网络.
主要方法:
- 使用先进的深度假冒技术生成高质量的语音身份克隆.
- 一个受控的身份匹配任务,涉及25名参与者评估深假和自然声音.
- 应用单变量和多变量神经成像分析来检查大脑活动.
主要成果:
- 参与者在区分深度假冒声音方面表现中等,这表明他们既容易受到欺骗,也有一定程度的抵抗力.
- 神经成像揭示了一个关键的中央皮质 - 状网络,对解码声学模式和说话者身份至关重要.
- 听觉皮层处理深度假冒级别的信息,而心脏核则参与评估自然说话者身份.
结论:
- 人类对音频深度假冒有部分敏感性,但具有固有的神经认知防御.
- 已识别的皮层-状状网络为大脑处理听觉身份信息提供了洞察力.
- 了解这些机制可以为策略提供信息,以加强人类对复杂虚假信息的抵抗力.
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