  The variety of accents has posed a big challenge to speech recognition. The
Accented English Speech Recognition Challenge (AESRC2020) is designed for
providing a common testbed and promoting accent-related research. Two tracks
are set in the challenge -- English accent recognition (track 1) and accented
English speech recognition (track 2). A set of 160 hours of accented English
speech collected from 8 countries is released with labels as the training set.
Another 20 hours of speech without labels is later released as the test set,
including two unseen accents from another two countries used to test the model
generalization ability in track 2. We also provide baseline systems for the
participants. This paper first reviews the released dataset, track setups,
baselines and then summarizes the challenge results and major techniques used
in the submissions.
