2 papers
cs.SD2025
Is Self-Supervised Learning Enough to Fill in the Gap? A Study on Speech Inpainting
Ihab Asaad, Maxime Jacquelin, Olivier Perrotin +2
Speech inpainting consists in reconstructing corrupted or missing speech segments using surrounding context, a process that closely resembles the pretext tasks in Self-Supervised L…
cs.CL2025
Cued Speech Generation Leveraging a Pre-trained Audiovisual Text-to-Speech Model
Sanjana Sankar, Martin Lenglet, Gerard Bailly +2
This paper presents a novel approach for the automatic generation of Cued Speech (ACSG), a visual communication system used by people with hearing impairment to better elicit the s…