  In this report, we describe our submission to the Ego4D AudioVisual (AV)
Speech Transcription Challenge 2022. Our pipeline is based on AVATAR, a state
of the art encoder-decoder model for AV-ASR that performs early fusion of
spectrograms and RGB images. We describe the datasets, experimental settings
and ablations. Our final method achieves a WER of 68.40 on the challenge test
set, outperforming the baseline by 43.7%, and winning the challenge.
