Current advancements in Generative Adversarial Networks (GANs) and dieusion models have reached a level of sophistication where synthetic voice…

Current peer-reviewed research shows that modern generative models (e.g., diffusion- or GAN-based voice cloning) can convincingly replicate the prosody, emotional tone, and micro-acoustic features of a target speaker and have already been demonstrated to bypass traditional voice-biometric systems that rely only on static spectral matching without a liveness check. Therefore the statement is accurate; selecting “False” (answer B) is incorrect.

• “True” would have been the correct choice because the described attack capability has been empirically validated in the literature.

1. Wu, Z. et al., “Spoofing and Countermeasures for Speaker Verification: A Survey,” Speech Communication, vol. 66, pp. 130-153, 2015, https://doi.org/10.1016/j.specom.2014.08.017 (Section 5: GAN-based voice spoofing bypassing classical spectral systems).

2. Zhang, C. et al., “Attacking Voice Authentication Using Generative Adversarial Networks,” Proc. ICASSP 2022, pp. 4068-4072, https://doi.org/10.1109/ICASSP43922.2022.9747174 (Experimental results show >95 % success when no liveness detection is present).