Roy and Pentland (2002) were among the first to propose a computational model, known as CELL, that integrates both speech and vision to study child language acquisition.
cELL required both speech and images to be pre-processed, where canonical shapes were first extracted from images and further represented as histograms; and speech was discretised into phonemes.