Speech and Audio Processing

Neural Tracking of Audiovisual Effects in Noise Using Deep Neural Network-Generated Virtual Humans

This study evaluates DNN-generated virtual humans for enhancing audiovisual speech perception in noise using behavioral and neural measures, finding they improve speech intelligibility compared to human speakers.

Experiments on localization accuracy with non-individual and individual HRTFs comparing static and dynamic reproduction methods

This study compares localization accuracy using individual and non-individual HRTFs with static and dynamic reproduction methods, finding dynamic methods reduce front-back confusions more effectively than individual HRTFs.