ECHO-G: Embodied Co-speech Humanoid mOtion Generation
ECHO-G generates full-body robot motion by jointly conditioning speech audio and timed transcripts using a SpeechGrounded Diffusion Transformer (SGDiT). This framework models the relationship between spoken words and physical movement directly in robot space. It uses cross-attention to guide motion generation based on both the overall content and the temporal structure of the utterance.