3 papers
cs.CL2026
Depth-Attention: Cross-Layer Value Mixing for Language Models
Boyi Zeng, Yiqin Hao, Zitong Wang +7
Self-attention selects information freely across the sequence, but across depth, Transformers merely add each layer's output to the residual stream, so later layers cannot selectiv…
cs.SD2025
MuteSwap: Visual-informed Silent Video Identity Conversion
Yifan Liu, Yu Fang, Zhouhan Lin
Conventional voice conversion modifies voice characteristics from a source speaker to a target speaker, relying on audio input from both sides. However, this process becomes infeas…
cs.SD2025
DiVISe: Direct Visual-Input Speech Synthesis Preserving Speaker Characteristics And Intelligibility
Yifan Liu, Yu Fang, Zhouhan Lin
Video-to-speech (V2S) synthesis, the task of generating speech directly from silent video input, is inherently more challenging than other speech synthesis tasks due to the need to…