speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment

Junbo Zhang; Zhiwen Zhang; Yongqing Wang; Zhiyong Yan; Qiong Song; Yukai Huang; Ke Li; Daniel Povey; Yujun Wang

speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment

Computation and Language 2021-06-03 v2 Sound Audio and Speech Processing

Authors: Junbo Zhang , Zhiwen Zhang , Yongqing Wang , Zhiyong Yan , Qiong Song , Yukai Huang , Ke Li , Daniel Povey , Yujun Wang

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Abstract

This paper introduces a new open-source speech corpus named "speechocean762" designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native speakers, where half of the speakers are children. Five experts annotated each of the utterances at sentence-level, word-level and phoneme-level. A baseline system is released in open source to illustrate the phoneme-level pronunciation assessment workflow on this corpus. This corpus is allowed to be used freely for commercial and non-commercial purposes. It is available for free download from OpenSLR, and the corresponding baseline system is published in the Kaldi speech recognition toolkit.

Keywords

corpus speech recognition

Cite

@article{arxiv.2104.01378,
  title  = {speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment},
  author = {Junbo Zhang and Zhiwen Zhang and Yongqing Wang and Zhiyong Yan and Qiong Song and Yukai Huang and Ke Li and Daniel Povey and Yujun Wang},
  journal= {arXiv preprint arXiv:2104.01378},
  year   = {2021}
}

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Accepted in INTERSPEECH 2021

speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment

Abstract

Keywords

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