VALL-E is a Microsoft Research text-to-speech model that uses discrete audio codes and in-context learning to synthesize personalized speech from short samples.
OmniParser is a lightweight, open-source screen parsing module that converts UI screenshots into structured, actionable elements to boost visual-language model performance in GUI-based agent tasks.
