Automatic speaker identification has gained popularity in security applications due to its proficiency in detecting and countering fraudulent attempts to mimic a user’s voice through digital manipulation. 

However, digital security engineers from the University of Wisconsin-Madison discovered that these systems have a weakness when facing a novel analog attack. According to the team, speaking through customized PVC pipes can fool machine learning algorithms supporting automatic speaker identification systems.