VALL-E 2 is a voice synthesis model introduced by Microsoft Research Asia, significantly enhancing the robustness and naturalness of speech synthesis through repetition-aware sampling and grouped coding modeling techniques. This model can convert written text into natural speech, applicable across multiple domains including education, entertainment, and multilingual communication, playing a crucial role in improving accessibility and enhancing cross-language communication.