What specific deep learning architectures are mentioned as integral to the AI Leap in modern voice cloning?

Generative Adversarial Networks (GANs) or various forms of autoencoders

The true revolution enabling high-quality, near-indistinguishable voice replication is directly linked to the integration of deep learning and neural networks. Specifically, the text notes that these advanced deep learning models often leverage sophisticated architectures. Prominently mentioned are Generative Adversarial Networks, commonly known as GANs, or different types of autoencoders. These sophisticated network structures allow the AI system to move beyond manually programming speech rules by instead ingesting extensive audio data from the target speaker to learn and build an intricate internal representation of that speaker's unique vocal characteristics and patterns.