“In the field of co language gesture generation, researchers have proposed a gesture generation method based on multimodal joint embedding encoding, which effectively solves the problems of insufficient utilization of gesture data information, poor spatial structure of multimodal embedding, and poor stability of adversarial training. The experimental results show that the method achieved FGD indicators of 0.901 and 1.667 on two gesture datasets, respectively, verifying its effectiveness.”