Some of the main challenges and improvements in Tacotron research include semi-supervised training, multi-task learning for prosodic phrasing, voice conversion tasks, robustness, and controllability. Researchers have developed various extensions and improvements to address these challenges, such as Non-Attentive Tacotron and Taco-VC, which enhance the system's capabilities and performance.