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

页码：3710 / 3714

页数：5

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