人类难辨真假语音，AI克隆声音已逼近真实水平。
People are poorly equipped to detect AI-powered voice clones
- 通过感知实验测试AI语音在身份匹配与自然度上的表现。
- 80%的人误认AI语音为真人，仅60%能正确识别为假音。
- 警示语音伪造风险，适合关注AI安全与数字信任的研究者。
随着生成式人工智能的迅猛发展，文本、音频、图像和视频生成技术日益逼近人类创作水准。本研究通过一系列感知实验，评估了AI生成语音在身份匹配与自然度方面的逼真程度。结果表明，参与者难以稳定识别出AI生成的语音：约80%的情况下，他们将AI语音误认为与其对应的真人声音；仅有约60%的时机下，能正确判断语音为人工生成。该发现凸显了当前语音克隆技术对真实性检测的挑战。
原文摘要 · Abstract (English)
As generative artificial intelligence (AI) continues its ballistic trajectory, everything from text to audio, image, and video generation continues to improve at mimicking human-generated content. Through a series of perceptual studies, we report on the realism of AI-generated voices in terms of identity matching and naturalness. We find human participants cannot consistently identify recordings of AI-generated voices. Specifically, participants perceived the identity of an AI-voice to be the same as its real counterpart approximately 80% of the time, and correctly identified a voice as AI generated only about 60% of the time.
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