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

被引：8
|
作者：
Zhang, Junbo [1 ]
Zhang, Zhiwen [2 ]
Wang, Yongqing [1 ]
Yan, Zhiyong [1 ]
Song, Qiong [2 ]
Huang, Yukai [2 ]
Li, Ke [2 ]
Povey, Daniel [1 ]
Wang, Yujun [1 ]
机构：
[1] Xiaomi Corp, Beijing, Peoples R China
[2] SpeechOcean Ltd, Beijing, Peoples R China
来源：
INTERSPEECH 2021 | 2021年
关键词：
corpus; computer-assisted language learning (CALL); second language (L2); MISPRONUNCIATION DETECTION; LEXICAL STRESS;
D O I：
10.21437/Interspeech.2021-1259
中图分类号：
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号：
100104 ; 100213 ;
摘要：
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.
引用
收藏
页码：3710 / 3714
页数：5
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