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

Xian Shi; Fan Yu; Yizhou Lu; Yuhao Liang; Qiangze Feng; Daliang Wang; Yanmin Qian; Lei Xie

ICASSP 2021accepted0 citations

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

Xian Shi, Fan Yu, Yizhou Lu, Yuhao Liang, Qiangze Feng, Daliang Wang, Yanmin Qian, Lei Xie

Abstract

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.

BibTeX

@inproceedings{icassp2021_theaccentedengli,
  title = {The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods},
  author = {Xian Shi and Fan Yu and Yizhou Lu and Yuhao Liang and Qiangze Feng and Daliang Wang and Yanmin Qian and Lei Xie},
  booktitle = {ICASSP 2021},
  year = {2021}
}