Editing Advancements in AI TTS (2020s) (section)

== Introduction ==
Since the turn of the 21st century, AI Text-to-Speech (TTS) technology has experienced a remarkable evolution, transitioning from rule-driven synthesis to end-to-end approaches founded on deep learning. These transformative shifts have resulted in remarkable improvements in the quality, naturalness, and adaptability of TTS systems for speech synthesis.

In the 2020s, AI TTS underwent groundbreaking changes, introducing innovations such as voice cloning and zero-shot learning, ultimately achieving an unparalleled level of natural and expressive speech synthesis. These advancements laid the cornerstone for the modern TTS technology we have today.

AI TTS has made an indelible impact on various domains, including business, education, and society, by transcending language barriers and gaining the ability to convey emotions and individuality. However, its widespread adoption has concurrently raised valid concerns regarding privacy and bias.