2024-09-26 16:28:02.AIbase.12.0k
Easily Identify Audio Forgery! Zhejiang University and Tsinghua University Join Forces to Create the AI Voice Privacy Protection Tool SafeEar
In today's rapidly advancing world of artificial intelligence, voice synthesis and transformation technologies are evolving at an extraordinary pace, providing us with incredibly realistic and natural audio experiences. However, these technological advancements also bring potential security risks, particularly as 'voice cloning' technology could be exploited by malicious individuals, threatening personal privacy and social stability. In response to this challenge, the Intelligent System Security Laboratory of Zhejiang University and Tsinghua University have joined forces to launch a revolutionary audio forgery detection framework - SafeEar. This framework not only efficiently detects forged audio but also ensures privacy protection during the detection process.