The LRS3 dataset includes thousands of spoken sentences from TED and TEDx videos, divided into Trainval and Test folders. We used the same dataset consistent with previous works (Li et al., 2022; Gao & Grauman, 2021; Lee et al., 2021), which is constructed by randomly selecting voices of two different speakers from the LRS3 data. In contrast to LRS2, the LRS3 data has relatively less noise and is closer to separation tasks in clean environments. It comprises 28-hour training, 3-hour validation, and 1.5-hour test sets.