  The ICASSP 2023 Acoustic Echo Cancellation Challenge is intended to stimulate
research in acoustic echo cancellation (AEC), which is an important area of
speech enhancement and is still a top issue in audio communication. This is the
fourth AEC challenge and it is enhanced by adding a second track for
personalized acoustic echo cancellation, reducing the algorithmic + buffering
latency to 20ms, as well as including a full-band version of AECMOS. We open
source two large datasets to train AEC models under both single talk and double
talk scenarios. These datasets consist of recordings from more than 10,000 real
audio devices and human speakers in real environments, as well as a synthetic
dataset. We open source an online subjective test framework and provide an
objective metric for researchers to quickly test their results. The winners of
this challenge were selected based on the average mean opinion score (MOS)
achieved across all scenarios and the word accuracy (WAcc) rate.
