The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods

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 accen...

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Bibliographic Details
Main Authors: Shi, Xian, Yu, Fan, Lu, Yizhou, Liang, Yuhao, Feng, Qiangze, Wang, Daliang, Qian, Yanmin, Xie, Lei
Format: Conference Proceeding
Language:English
Subjects:
accent recognition
Accented speech recognition
acoustic modeling
Acoustics
Conferences
end-to-end ASR
Signal processing
Speech processing
Speech recognition
Training
Online Access:Request full text
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Summary: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.
ISSN:2379-190X
DOI:10.1109/ICASSP39728.2021.9413386