Progressing beyond basic text-to-speech, current AI spoken agent development now leverages a range of complex techniques. These include variational autoencoders (VAEs) for producing more realistic and expressive speech, and generative adversarial networks (GANs) to refine authenticity. Furthermore, techniques like limited-data learning and transfer